Best AI tools for< Experiment Tracking >

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.

DVC is an open-source platform for managing machine learning data and experiments. It provides a unified interface for working with data from various sources, including local files, cloud storage, and databases. DVC also includes tools for versioning data and experiments, tracking metrics, and automating compute resources. DVC is designed to make it easy for data scientists and machine learning engineers to collaborate on projects and share their work with others.

Aim is an open-source experiment tracker that logs your training runs, enables a beautiful UI to compare them, and an API to query them programmatically. It integrates seamlessly with your favorite tools.

Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.

Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. Two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions.

ClearML is an open-source, end-to-end platform for continuous machine learning (ML). It provides a unified platform for data management, experiment tracking, model training, deployment, and monitoring. ClearML is designed to make it easy for teams to collaborate on ML projects and to ensure that models are deployed and maintained in a reliable and scalable way.

DVC Studio is a collaboration tool for machine learning teams. It provides seamless data and model management, experiment tracking, visualization, and automation. DVC Studio is built for ML researchers, practitioners, and managers. It enables model organization and discovery across all ML projects and manages model lifecycle with Git, unifying ML projects with the best DevOps practices. DVC Studio also provides ML experiment tracking, visualization, collaboration, and automation using Git. It applies software engineering and DevOps best-practices to automate ML bookkeeping and model training, enabling easy collaboration and faster iterations.

DVC is an open-source version control system for machine learning projects. It allows users to track and manage their data, models, and code in a single place. DVC also provides a number of features that make it easy to collaborate on machine learning projects, such as experiment tracking, model registration, and pipeline management.

Metaflow is an open-source framework for building and managing real-life ML, AI, and data science projects. It makes it easy to use any Python libraries for models and business logic, deploy workflows to production with a single command, track and store variables inside the flow automatically for easy experiment tracking and debugging, and create robust workflows in plain Python. Metaflow is used by hundreds of companies, including Netflix, 23andMe, and Realtor.com.

MLflow is an open source platform for managing the end-to-end machine learning (ML) lifecycle, including tracking experiments, packaging models, deploying models, and managing model registries. It provides a unified platform for both traditional ML and generative AI applications.

Comet ML is an extensible, fully customizable machine learning platform that aims to move ML forward by supporting productivity, reproducibility, and collaboration. It integrates with existing infrastructure and tools to manage, visualize, and optimize models from training runs to production monitoring. Users can track and compare training runs, create a model registry, and monitor models in production all in one platform. Comet's platform can be run on any infrastructure, enabling users to reshape their ML workflow and bring their existing software and data stack.

Databricks is a data and AI company that offers a Data Intelligence Platform to help users succeed with AI by developing generative AI applications, democratizing insights, and driving down costs. The platform maintains data lineage, quality, control, and privacy across the entire AI workflow, enabling users to create, tune, and deploy generative AI models. Databricks caters to industry leaders, providing tools and integrations to speed up success in data and AI. The company offers resources such as support, training, and community engagement to help users succeed in their data and AI journey.

GrowASO is an AI-driven App Store Optimization (ASO) platform that helps app developers and marketers increase their app downloads, revenue, and rankings. It offers a range of features including AI-powered app listing optimization, app icon experiments, keyword traffic and difficulty estimates, keyword rank tracking, and competitor analysis. GrowASO supports both iOS and Android apps and provides cross-platform optimization.

Roundtable is an AI-assisted data cleaning tool designed for enterprise survey programming. It offers an easy-to-integrate API for cleaning open-ended survey responses, saving up to 70% of time. The tool uses real-time behavioral tracking to detect unnatural typing and programmatic entries, and it provides multilingual functionality for deploying studies to various markets. Roundtable also features GPT detection to identify bots and participants, dynamic clustering to group duplicate responses, and programmatic pre-screening to auto-reject low-quality participants. The tool is trusted by leaders and innovators for improving data quality efforts and providing reliable human-generated insights.

More Views AI is an AI tool designed to help YouTube content creators increase their view count by testing different video settings. The tool uses artificial intelligence to analyze video titles, suggest variations, and run A/B tests to determine the best-performing title. It offers features such as automatic A/B toggling, performance tracking, views optimization, AI-generated title suggestions, and thumbnail testing. Users can connect their YouTube account, set up experiments in seconds, and let the algorithm optimize their video titles to attract more views.

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.

AI Test Kitchen is a website that provides a variety of AI-powered tools for creative professionals. These tools can be used to generate images, music, and text, as well as to explore different creative concepts. The website is designed to be a place where users can experiment with AI and learn how to use it to enhance their creative process.

Kameleoon is an AI-driven A/B testing platform and personalization tool designed to optimize web experiences through experimentation and feature management. It offers a single platform with AI-powered conversion capabilities, strong security features, and powerful integrations. Kameleoon caters to a wide range of industries, including E-commerce, Retail, Travel, Automotive, Financial Services, Media, Healthcare, and B2B SaaS. The platform enables users to run experiments, personalize content, manage features, and analyze real-time data to enhance user experiences and drive growth.

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.

FastTrackML is an experiment tracking server focused on speed and scalability, fully compatible with MLFlow. It provides a user-friendly interface to track and visualize your machine learning experiments, making it easy to compare different models and identify the best performing ones. FastTrackML is open source and can be easily installed and run with pip or Docker. It is also compatible with the MLFlow Python package, making it easy to integrate with your existing MLFlow workflows.

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Additionally, its SDK enables programmatic access to tracked metadata — perfect for automations and Jupyter Notebook analysis. **Aim's mission is to democratize AI dev tools 🎯**

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.

OptScale is an open-source FinOps and MLOps platform that provides cloud cost optimization for all types of organizations and MLOps capabilities like experiment tracking, model versioning, ML leaderboards.

AIQC is an open source Python package that provides a declarative API for end-to-end MLOps in order to make deep learning more accessible to researchers. It utilizes a SQLite object-relational model for machine learning objects and stacks standardized workflows for various analyses, data types, and libraries. The benefits include a 90% reduction in data wrangling, reproducibility, and no need to install and maintain application and database servers for experiment tracking. AIQC is pip-installable and provides a Dash-Plotly UI for real-time experiment tracking.

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.

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.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

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.

DagsHub is a platform for machine learning and data science teams to build, manage, and collaborate on their projects. With DagsHub you can: 1. Version code, data, and models in one place. Use the free provided DagsHub storage or connect it to your cloud storage 2. Track Experiments using Git, DVC or MLflow, to provide a fully reproducible environment 3. Visualize pipelines, data, and notebooks in and interactive, diff-able, and dynamic way 4. Label your data directly on the platform using Label Studio 5. Share your work with your team members 6. Stream and upload your data in an intuitive and easy way, while preserving versioning and structure. DagsHub is built firmly around open, standard formats for your project. In particular: * Git * DVC * MLflow * Label Studio * Standard data formats like YAML, JSON, CSV Therefore, you can work with DagsHub regardless of your chosen programming language or frameworks.

Metaflow is a user-friendly library designed to assist scientists and engineers in developing and managing real-world data science projects. Initially created at Netflix, Metaflow aimed to enhance the productivity of data scientists working on diverse projects ranging from traditional statistics to cutting-edge deep learning. For further information, refer to Metaflow's website and documentation.

Simple Transformers is a library based on the Transformers library by HuggingFace, allowing users to quickly train and evaluate Transformer models with only 3 lines of code. It supports various tasks such as Information Retrieval, Language Models, Encoder Model Training, Sequence Classification, Token Classification, Question Answering, Language Generation, T5 Model, Seq2Seq Tasks, Multi-Modal Classification, and Conversational AI.

The llama-recipes repository provides a scalable library for fine-tuning Llama 2, along with example scripts and notebooks to quickly get started with using the Llama 2 models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama 2 and other tools in the LLM ecosystem. The examples here showcase how to run Llama 2 locally, in the cloud, and on-prem.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

LeRobot is a state-of-the-art AI library for real-world robotics in PyTorch. It aims to provide models, datasets, and tools to lower the barrier to entry to robotics, focusing on imitation learning and reinforcement learning. LeRobot offers pretrained models, datasets with human-collected demonstrations, and simulation environments. It plans to support real-world robotics on affordable and capable robots. The library hosts pretrained models and datasets on the Hugging Face community page.

Unofficial Julia Bindings for wandb.ai. Wandb is a platform for tracking and visualizing machine learning experiments. It provides a simple and consistent way to log metrics, parameters, and other data from your experiments, and to visualize them in a variety of ways. Wandb.jl provides a convenient way to use Wandb from Julia.

Assists in designing experiments for your scientific questions

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.

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

EXPERIMENT - Friendly guide for navigating Anchorage Municipal Code - Double Check info

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.

Engaging science experiment assistant with humor

Automated AI experiment tool for evaluating prompt strategies.

Dalle + custom corrupted data from every artist in the world. This is an experiment. (beta)

Research assistant for Atomic, Molecular, and Optics Physics

Expert in synthetic neurobiology, brain organoids, and AI applications in neuroscience. Powered by Breebs (www.breebs.com)

Artisan of spirits and guide to cocktail-cuisine harmony.

Quantum Hypothesis，About A New Universal Physical Theory

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.

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

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