Best AI tools for< Experiment With Hyperparameters >

Sacred is a tool to configure, organize, log and reproduce computational experiments. It is designed to introduce only minimal overhead, while encouraging modularity and configurability of experiments. The ability to conveniently make experiments configurable is at the heart of Sacred. If the parameters of an experiment are exposed in this way, it will help you to: keep track of all the parameters of your experiment easily run your experiment for different settings save configurations for individual runs in files or a database reproduce your results In Sacred we achieve this through the following main mechanisms: Config Scopes are functions with a @ex.config decorator, that turn all local variables into configuration entries. This helps to set up your configuration really easily. Those entries can then be used in captured functions via dependency injection. That way the system takes care of passing parameters around for you, which makes using your config values really easy. The command-line interface can be used to change the parameters, which makes it really easy to run your experiment with modified parameters. Observers log every information about your experiment and the configuration you used, and saves them for example to a Database. This helps to keep track of all your experiments. Automatic seeding helps controlling the randomness in your experiments, such that they stay reproducible.

Google Labs is a website that showcases experimental AI tools and technology developed by Google. These tools are designed to help users explore the potential of AI in various fields, including creativity, productivity, and education. Some of the featured tools include: - **LABS.GOOGLE**: A platform for experimenting with the future of AI, including tools for creating images from text, generating music, and writing scripts for home automation. - **NotebookLM**: A personalized AI collaborator designed to help users with their thinking and writing. - **Say What You See**: A tool that helps users learn the art of prompting and improving their image-reading skills. - **Help Me Script**: A tool that turns text into home automation scripts for Google Home. - **ImageFX**: A tool that transforms text into images, allowing users to explore endless possibilities. - **Gen AI in Chrome**: A tool that creates themes with AI, organizes tabs, and helps users write more confidently on the web. - **MusicFX**: A tool that describes a musical idea and brings it to life. - **Duet AI**: A tool that helps users create, write, visualize, and organize in new ways with collaborative AI tools in Google Workspace. - **TextFX**: A tool that supercharges the writing process with AI-powered language tools.

GPT4Free is a free playground for experimenting with ChatGPT without the hassle of APIs, logins, or restrictions. It offers a wide range of features, including a prompt library, organized chats, import/export functionality, customizable model parameters, and multiple language support. GPT4Free also provides access to GPT Reverse Proxy, allowing users to interact with GPT4 & GPT3.5 and GPT4 Vision from anywhere in the world.

Local AI Playground (local.ai) is an AI management, verification, and inferencing tool that allows users to experiment with AI offline and in private without the need for a GPU. It is a native app designed to simplify the AI process, offering features such as CPU inferencing, model management, and digest verification. The tool is memory efficient and compact, with upcoming features including GPU inferencing and custom sorting. Users can start a local streaming server for AI inferencing in just 2 clicks, making it a versatile and user-friendly AI application.

LABS.GOOGLE is a platform where users can experiment with the future of AI through various tools and applications. It offers a wide range of AI-powered features and experiences, from visual artists reimagining classic works to transforming text into images and videos. Users can explore AI in different domains such as music, writing, education, and more. The platform aims to showcase the potential of AI technology and its applications in everyday life.

Outfit Anyone AI is a groundbreaking virtual try-on technology developed by the Institute for Intelligent Computing at Alibaba Group. It revolutionizes the virtual fashion experience by offering ultra-high quality and realistic try-on experiences for any clothing on any person. The platform utilizes advanced AI models to process images of clothing and models, ensuring lifelike results that consider factors like pose and body shape. With a focus on inclusivity, versatility, and animation support, Outfit Anyone AI aims to redefine the way users explore fashion.

MusicGen AI is a free and advanced AI music generation tool developed by Meta. It utilizes a single Language Model (LM) to create high-quality music based on text descriptions, melodies, or audio prompts. MusicGen operates by encoding music into compressed tokens, which are then used to generate the music samples. It can produce music in various formats, including mono and stereo. MusicGen AI offers a range of features, including melody conditioning, text-conditional generation, audio-prompted generation, advanced model architecture, flexible generation modes, unconditional generation, extensive training dataset, and customizable generation process.

CustomerGlu is a gamification platform designed to supercharge app growth through in-app monetization. It offers a variety of gamified user journeys to enhance activation, retention, and user delight. With features like ready templates, personalized recommendations, surveys, and engagement challenges, CustomerGlu helps businesses improve key metrics and build stronger relationships with users. The platform enables quick idea-to-launch with over 50 templates, real-time reporting, personalization, and seamless integration with existing tools. CustomerGlu is trusted by growth teams for its proven results in boosting conversions, retention rates, and engagement levels.

Remodel AI is an AI-powered application that allows users to generate inspiring interior and exterior concepts for their homes in less than 30 seconds. With over 24,580 remodeling designs generated, Remodel AI revolutionizes home remodeling by providing users with the ability to visualize fully remodeled versions of their homes, including new flooring, wall treatments, and furniture layouts. The application offers customization options for both interior and exterior remodeling, catering to various building types and facade styles. Users can choose from different quality levels and design styles to fit their needs, with the option for one-time fees or monthly subscriptions. Remodel AI ensures a seamless and effortless remodeling experience, making it a go-to tool for homeowners, interior designers, and anyone looking to transform their living spaces.

Change Clothes AI is an innovative AI-powered online tool that revolutionizes the way we try on clothes. By utilizing cutting-edge AI algorithms, the application analyzes user photos and garment images to seamlessly create realistic images of individuals wearing new outfits. With a user-friendly interface and hyperrealistic results, Change Clothes AI eliminates the guesswork in online shopping, allowing users to visualize themselves in different styles effortlessly. The application offers a free trial and aims to provide a fun and functional experience for exploring endless outfit possibilities.

Redesign With AI is an online platform that leverages artificial intelligence to make design easier and more creative. It offers users the ability to generate high-quality design images quickly, saving time and money compared to hiring a professional designer. With intuitive interfaces and unlimited creativity, Redesign With AI empowers users to explore and experiment with various creative ideas. The platform caters to a wide range of design needs, from icons and logos to stickers and posters, making it a versatile tool for designers and non-designers alike.

Freeplay is a tool that helps product teams experiment, test, monitor, and optimize AI features for customers. It provides a single pane of glass for the entire team, lightweight developer SDKs for Python, Node, and Java, and deployment options to meet compliance needs. Freeplay also offers best practices for the entire AI development lifecycle.

LooksMaxx Report is an AI-powered application designed to assist users in enhancing their appearance and achieving a 'glow up'. By leveraging advanced algorithms and image processing technology, the app provides personalized recommendations and insights to help individuals improve their physical attractiveness. Users can access a range of features such as virtual makeovers, facial symmetry analysis, hairstyle suggestions, and skincare tips. With its user-friendly interface and cutting-edge AI capabilities, LooksMaxx Report aims to empower users to boost their confidence and refine their aesthetic appeal.

Tattoo Design Pro is an AI-powered application that allows users to transform their imagination into stunning tattoo designs in various styles. Whether starting with a simple prompt or uploading an existing sketch, the app uses AI magic to create unique and detailed designs. Customers can experiment with different designs, receive AI-generated suggestions, and easily choose the perfect tattoo design. The app provides a user-friendly interface and a wide range of features to help tattoo enthusiasts and artists in the design process.

AI Hairstyle is an AI-powered online platform that offers a virtual hairstyle transformation experience. Users can explore various hairstyles and hair colors using the AI hairstyle generator and color changer. The platform provides personalized hairstyle suggestions and allows users to try on different looks virtually. With features like free storage, users can save their generated images in the cloud for easy access. AI Hairstyle aims to make experimenting with new hairstyles effortless and fun.

Sorisori.ai is a hub for AI content creation, offering users the ability to recreate content with their own unique voice. Users can choose from a variety of voice options, create covers of songs with their own voice, and generate new covers using AI technology. The platform allows users to experiment with different voice settings and share their creations with the community. Sorisori.ai aims to revolutionize AI content creation by providing a free trial for users to experience the power of AI in generating unique content.

Hairstyle AI is a virtual AI hairstyle try-on tool that allows users to experiment with new haircuts virtually before making a real-life change. With over 155,760 AI-generated hairstyles created for 1,298 happy customers, Hairstyle AI offers a wide variety of styles for both male and female users. The platform uses AI technology to provide users with personalized hairstyle recommendations, helping them feel more confident in their appearance without the need for any actual haircut. Users can upload their selfies, explore different hairstyles, and download their favorites to try out different looks effortlessly.

AI Face Swap is a free online tool that allows users to swap faces in images using artificial intelligence (AI) technology. It is easy to use and requires no login. Users simply upload their photos and the AI will automatically swap the faces. The tool can be used to create funny memes, transform into anyone you desire, or simply experiment with different looks. AI Face Swap is a powerful tool that can be used for a variety of creative purposes.

FaceApp is a popular photo editing app that uses advanced AI technology to enhance and transform portraits. It offers a wide range of filters, backgrounds, effects, and tools to help users create magazine-quality photos with just one tap. The app's AI-driven features include age progression, gender swap, and facial hair manipulation, which have made it a viral sensation. FaceApp is available for both iOS and Android devices and has been downloaded over 500 million times worldwide.

Audiobox is an AI tool developed by Meta for audio generation. It allows users to create custom audio content by generating voices and sound effects using voice inputs and natural language text prompts. The tool is designed to be user-friendly and versatile, catering to a wide range of use cases. Audiobox offers a series of interactive audio demos to showcase its unique capabilities and provides a platform for users to express their creativity through audio storytelling. The tool is built upon the shared self-supervised model Audiobox SSL, ensuring a safe and reliable AI experience for all users.

LLMOps with Prompt flow is a template and guidance for building LLM-infused apps using Prompt flow. It provides centralized code hosting, lifecycle management, variant and hyperparameter experimentation, A/B deployment, many-to-many dataset/flow relationships, multiple deployment targets, comprehensive reporting, BYOF capabilities, configuration-based development, local prompt experimentation and evaluation, endpoint testing, and optional Human-in-loop validation. The tool is customizable to suit various application needs.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

HippoRAG is a novel retrieval augmented generation (RAG) framework inspired by the neurobiology of human long-term memory that enables Large Language Models (LLMs) to continuously integrate knowledge across external documents. It provides RAG systems with capabilities that usually require a costly and high-latency iterative LLM pipeline for only a fraction of the computational cost. The tool facilitates setting up retrieval corpus, indexing, and retrieval processes for LLMs, offering flexibility in choosing different online LLM APIs or offline LLM deployments through LangChain integration. Users can run retrieval on pre-defined queries or integrate directly with the HippoRAG API. The tool also supports reproducibility of experiments and provides data, baselines, and hyperparameter tuning scripts for research purposes.

ClearML is a suite of tools designed to streamline the machine learning workflow. It includes an experiment manager, MLOps/LLMOps, data management, and model serving capabilities. ClearML is open-source and offers a free tier hosting option. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm. ClearML provides extensive logging capabilities, including source control info, execution environment, hyper-parameters, and experiment outputs. It also offers automation features, such as remote job execution and pipeline creation. ClearML is designed to be easy to integrate, requiring only two lines of code to add to existing scripts. It aims to improve collaboration, visibility, and data transparency within ML teams.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

The Open MatSci ML Toolkit is a flexible framework for machine learning in materials science. It provides a unified interface to a variety of materials science datasets, as well as a set of tools for data preprocessing, model training, and evaluation. The toolkit is designed to be easy to use for both beginners and experienced researchers, and it can be used to train models for a wide range of tasks, including property prediction, materials discovery, and materials design.

SwanLab is an open-source, lightweight AI experiment tracking tool that provides a platform for tracking, comparing, and collaborating on experiments, aiming to accelerate the research and development efficiency of AI teams by 100 times. It offers a friendly API and a beautiful interface, combining hyperparameter tracking, metric recording, online collaboration, experiment link sharing, real-time message notifications, and more. With SwanLab, researchers can document their training experiences, seamlessly communicate and collaborate with collaborators, and machine learning engineers can develop models for production faster.

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is the project which is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out of the box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines and many more.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

DVC, or Data Version Control, is a command-line tool and VS Code extension that helps you develop reproducible machine learning projects. With DVC, you can version your data and models, iterate fast with lightweight pipelines, track experiments in your local Git repo, compare any data, code, parameters, model, or performance plots, and share experiments and automatically reproduce anyone's experiment.

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). With H2O LLM Studio, you can easily and effectively fine-tune LLMs without the need for any coding experience. The GUI is specially designed for large language models, and you can finetune any LLM using a large variety of hyperparameters. You can also use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint. Additionally, you can use Reinforcement Learning (RL) to finetune your model (experimental), use advanced evaluation metrics to judge generated answers by the model, track and compare your model performance visually, and easily export your model to the Hugging Face Hub and share it with the community.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

This repository provides the official implementation of the paper 'On Embeddings for Numerical Features in Tabular Deep Learning'. It focuses on transforming scalar continuous features into vectors before integrating them into the main backbone of tabular neural networks, showcasing improved performance. The embeddings for continuous features are shown to enhance the performance of tabular DL models and are applicable to various conventional backbones, offering efficiency comparable to Transformer-based models. The repository includes Python packages for practical usage, exploration of metrics and hyperparameters, and reproducing reported results for different algorithms and datasets.

This repository is a refactored and updated version of `stable-audio-tools`, an open-source code for audio/music generative models originally by Stability AI. It contains refactored codes for improved readability and usability, useful scripts for evaluating and playing with trained models, and instructions on how to train models such as `Stable Audio 2.0`. The repository does not contain any pretrained checkpoints. Requirements include PyTorch 2.0 or later for Flash Attention support and Python 3.8.10 or later for development. The repository provides guidance on installing, building a training environment using Docker or Singularity, logging with Weights & Biases, training configurations, and stages for VAE-GAN and Diffusion Transformer (DiT) training.

ShieldLM is a bilingual safety detector designed to detect safety issues in LLMs' generations. It aligns with human safety standards, supports customizable detection rules, and provides explanations for decisions. Outperforming strong baselines, ShieldLM is impressive across 4 test sets.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

A Rust based tool to evaluate LLM models, prompts and model params. It automates the process of selecting the best model parameters, given an LLM model and a prompt, iterating over the possible combinations and letting the user visually inspect the results. The tool assumes the user has Ollama installed and serving endpoints, either in `localhost` or in a remote server. Key features include: * Automatically fetches models from local or remote Ollama servers * Iterates over different models and params to generate inferences * A/B test prompts on different models simultaneously * Allows multiple iterations for each combination of parameters * Makes synchronous inference calls to avoid spamming servers * Optionally outputs inference parameters and response metadata (inference time, tokens and tokens/s) * Refetching of individual inference calls * Model selection can be filtered by name * List experiments which can be downloaded in JSON format * Configurable inference timeout * Custom default parameters and system prompts can be defined in settings

Explore a wide range of shoe styles and learn about design with AI-generated images.

Assume the role of a MAD SCIENTIST bent on creating the most powerful animal in this turn based creature creator AI battler!

Artisan of spirits and guide to cocktail-cuisine harmony.

あなたの写真に基づいてヘアカラーを提案し、製品を紹介します。

Offers styling advice focusing on vintage and retro fashion trends.

Experto en fotografía analógica y técnicas de cuarto oscuro.

Assists in finding the perfect coffee grind size based on grinder and coffee.

A creative chef assistant for generating original recipes.

I suggest hairstyles based on your selfie.

Engaging science experiment assistant with humor

Demystifying Experimentation and Causal Inference with 1-Sided Tests Focus

Upload a court judgment and get back a collection of topical case digests based on the case. Oh - don't trust the "Topic 2210" or similar number, it's random. Also, probably best you not fully trust the output either. We're just playing with the GPT maker. More about us at Jurisage.com.

An experiment in personal FileMaker guidance from the collective works of lifetime award-winning FileMaker trainer, Cris Ippolite. Not just links to resources, but direct access to 20+ years of custom training curriculum combined with expert AI instruction without the noise of external web links.

EXPERIMENT - Friendly expert on NYC dog license data from 2015-2016, with info on names, breeds and boroughs

This GPT chat AI is specialized in understanding Extractables and Leachables studies, aligning with pharmaceutical guidelines, and aiding in the design and interpretation of relevant experiments.

In-depth atheism discussions with debates, experiments, and learning paths

Guiding your product journey with expert insights. Made by the team behind kraftful.com

Innovative GPT in genetic engineering, compliant with OpenAI's usage policies

Hello I'm Glass Blower, Laboratory Apparatus Assistant! What would you like help with today?

Generates research hypotheses in various fields, ensuring scientific plausibility.