Best AI tools for< Make Samples >

Beat Shaper is a generative AI tool for musicians that helps them create beats, basslines, melodies, and VST synthesizer presets. It is designed to augment human creativity and help artists overcome writer's block. Beat Shaper is currently in beta testing, but you can apply for early access on their website.

Samplab is an AI-powered audio editing tool that allows users to manipulate audio samples with advanced features such as note editing, chord detection, stem separation, audio to MIDI conversion, and audio warping. It offers a seamless integration with digital audio workstations (DAWs) as a plugin or desktop app, enabling producers to enhance their music production workflow. Samplab's AI technology revolutionizes the way users interact with audio samples, providing unprecedented control over notes, chords, and melodies.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Suno is an AI-powered music creation tool that allows users to create songs from scratch or collaborate with others to create unique tracks. With Suno, users can generate lyrics, melodies, and beats, and then arrange and mix their creations to produce a finished song. The platform also offers a library of pre-made loops, samples, and instruments that users can use to enhance their compositions.

Covers.AI is an AI voice generator and AI song generator platform that allows users to create custom AI voices by uploading voice recordings. It offers a wide range of AI voice models for various categories such as anime, cartoons, streamers, gaming, famous personalities, and more. Users can easily generate AI voices and songs in minutes, making it a game-changing tool for music lovers of all levels of expertise. Covers.AI provides a user-friendly experience, empowering users to control and enhance their voices effortlessly.

Songburst is an AI music generator application designed for everyone to create original music effortlessly. It allows users to generate music for various purposes such as online content, mixes, and distribution on platforms like Spotify and Apple Music. With Songburst, users can describe the music they want, and the AI will create a unique track based on their input. The application offers unlimited downloads of generated music in wav or mp3 formats, along with a Prompt Enhancer feature to make prompts more descriptive. Songburst is available on the web and Android platforms, providing a user-friendly experience for music creation and production.

CloneMyVoice is an AI tool that specializes in creating AI audio voiceovers for long-form content such as podcasts, presentations, and social media. Users can save up to 80% compared to competitors and 99% compared to human voice actors. The platform allows users to upload source audio files and text, provide voice samples, and receive processed audio files within one hour. CloneMyVoice offers the ability to create audio presentations, social media content, podcasts, and audio books effortlessly. The AI can generate flawless English voices with British or American accents, capturing the tone and essence of the original voice.

Lalaland.ai is an AI-powered digital model studio for digital designers. It allows users to create realistic 3D models of people to showcase their designs. The platform integrates with Browzwear VStitcher, enabling users to style their designs on lifelike models and validate their garments early on in the design process. Lalaland.ai aims to make the fashion industry more sustainable by reducing the need for physical samples and photoshoots.

Boo.ai is an AI-powered writing assistant that helps users write faster and better. It uses GPT-3, a large language model, to generate text, make suggestions, and help brainstorm. Boo.ai is designed to be simple and easy to use, and it can be used for a variety of writing tasks, including copywriting, brainstorming, taking notes, writing emails, and more.

HarmonySnippetsAI is an AI application designed to help music creators and content producers identify engaging segments within their tracks quickly and efficiently. By leveraging AI algorithms, users can upload audio files and receive results that highlight the most captivating parts of their music. This tool is ideal for musicians looking to promote their work on social media platforms like Instagram, Facebook, and TikTok, enhancing audience engagement and expanding their reach.

Staccato is an AI-powered music creation and songwriting tool that helps musicians, songwriters, and producers overcome writer's block, generate unique melodies and lyrics, and learn music theory. With its intuitive interface and powerful AI algorithms, Staccato provides a range of features to enhance the creative process, including AI Instrument™ for generating MIDI music, AI Lyrics for creating song lyrics, and educational tools for understanding music theory and songwriting techniques.

Song.do is a free AI Song Generator tool that allows users to create beautiful and melodious songs from text in seconds. Users can input keywords, phrases, or sentences to customize lyrics and music styles, or simply enter simple words to generate a unique song effortlessly. The tool eliminates the need for expertise in music theory, melody creation, instrument playing, arrangement, recording, or lyric writing, making song creation accessible to everyone. With Song.do, users can make songs as gifts for various occasions or for personal enjoyment. The AI Song Generator supports a variety of music styles, including Blues, Classical, Rock, Pop, EDM, Funk, Instrumental, Metal, Jazz, and Rap.

Amped Studio is an online music sequencer and sound editor that provides users with the tools and resources they need to create music. The platform offers a variety of features, including a built-in drum machine, sequencer tracks, and a rich sample library. Amped Studio also allows users to connect third-party instruments and effects using VST technology. The platform is designed to be easy to use, even for beginners, and it offers a variety of tutorials and articles to help users get started.

Holler is an AI-powered survey tool that helps businesses collect feedback and gain insights from their customers. It is designed to be simple and easy to use, with a variety of features that make it a powerful tool for businesses of all sizes. Holler can be used to collect feedback on a variety of topics, including customer satisfaction, product development, and employee engagement. The AI-powered insights engine can help businesses identify trends and patterns in the data, and make recommendations for how to improve their products and services.

Output is the ultimate creative software for music makers, offering a range of tools and plugins to supercharge music production. With Output Arcade as the flagship product, musicians can access a powerful sampler and instrument plugin, along with FX plugins and Kontakt Instruments to transform their sound. The platform also introduces AI capabilities through features like Pack Generator, providing cutting-edge software for musicians to enhance their creativity and production workflow. Output aims to simplify the music-making process and empower artists to focus on their craft.

Nendo is a cloud-based 3D modeling software that allows users to create, edit, and share 3D models online. It is designed to be easy to use, even for beginners, and it offers a wide range of features that make it suitable for a variety of tasks, from simple 3D printing to complex architectural modeling.

Make-A-Video is a state-of-the-art AI system that generates videos from text. It builds on recent progress in text-to-image generation technology to enable text-to-video generation. The system uses images and unlabeled videos to learn about the world and create unique videos based on text input. Make-A-Video allows users to bring their imagination to life by generating whimsical and realistic videos with just a few words or lines of text.

This website provides a tool that allows users to convert 2D images into 3D images. The tool uses artificial intelligence to extract depth information from the image, which is then used to create a 3D model. The resulting 3D model can be embedded into a website or shared via a link.

Make me Epic is a web application that allows users to generate legendary titles for their LinkedIn profiles. The application uses artificial intelligence to analyze the user's resume and generate a title that is both creative and attention-grabbing. Make me Epic is a fun and easy way to make your LinkedIn profile stand out from the crowd.

Make It Quick is an AI-powered video creation platform that simplifies video production by generating high-quality videos from a few text prompts. The platform offers instant video creation, auto-generated scripts, and customization options, making it easy for users to create professional videos in minutes. With features like AI collaboration, automated video editing, and script optimization, Make It Quick is designed to help users bring their ideas to life effortlessly.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

Pandrator is a GUI tool for generating audiobooks and dubbing using voice cloning and AI. It transforms text, PDF, EPUB, and SRT files into spoken audio in multiple languages. It leverages XTTS, Silero, and VoiceCraft models for text-to-speech conversion and voice cloning, with additional features like LLM-based text preprocessing and NISQA for audio quality evaluation. The tool aims to be user-friendly with a one-click installer and a graphical interface.

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

KDB.AI is a time-based vector database that allows developers to build scalable, reliable, and real-time applications by providing advanced search, recommendation, and personalization for Generative AI applications. It supports multiple index types, distance metrics, top-N and metadata filtered retrieval, as well as Python and REST interfaces. The repository contains samples demonstrating various use-cases such as temporal similarity search, document search, image search, recommendation systems, sentiment analysis, and more. KDB.AI integrates with platforms like ChatGPT, Langchain, and LlamaIndex. The setup steps require Unix terminal, Python 3.8+, and pip installed. Users can install necessary Python packages and run Jupyter notebooks to interact with the samples.

The Google Cloud Vertex AI sample repository contains notebooks and community content that demonstrate how to develop and manage ML workflows using Google Cloud Vertex AI.

This repository provides resources to understand and utilize GPT (Generative Pre-trained Transformer) by Azure OpenAI. It includes sample solutions, use cases, and quick start guides. Users can explore various applications of GPT, such as chatbots, customer service, and content generation. The repository also offers Langchain, Semantic Kernel, and Prompt Flow samples, along with Serverless SQL GPT for natural language processing in Azure Synapse Analytics. The samples are based on GPT 3.5, with plans to update for GPT-4. Users are encouraged to contribute to keep the repository updated with the latest technologies and solutions.

Sample notebooks for IBM Watsonx.ai for IBM Cloud and IBM Watsonx.ai software product. The notebooks demonstrate capabilities such as running experiments on model building using AutoAI or Deep Learning, deploying third-party models as web services or batch jobs, monitoring deployments with OpenScale, managing model lifecycles, inferencing Watsonx.ai foundation models, and integrating LangChain with Watsonx.ai. Notebooks with Python code and the Python SDK can be found in the `python_sdk` folder. The REST API examples are organized in the `rest_api` folder.

BigCodeBench is an easy-to-use benchmark for code generation with practical and challenging programming tasks. It aims to evaluate the true programming capabilities of large language models (LLMs) in a more realistic setting. The benchmark is designed for HumanEval-like function-level code generation tasks, but with much more complex instructions and diverse function calls. BigCodeBench focuses on the evaluation of LLM4Code with diverse function calls and complex instructions, providing precise evaluation & ranking and pre-generated samples to accelerate code intelligence research. It inherits the design of the EvalPlus framework but differs in terms of execution environment and test evaluation.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

Lhotse is a Python library designed to make speech and audio data preparation flexible and accessible. It aims to attract a wider community to speech processing tasks by providing a Python-centric design and an expressive command-line interface. Lhotse offers standard data preparation recipes, PyTorch Dataset classes for speech tasks, and efficient data preparation for model training with audio cuts. It supports data augmentation, feature extraction, and feature-space cut mixing. The tool extends Kaldi's data preparation recipes with seamless PyTorch integration, human-readable text manifests, and convenient Python classes.

Arbigent (Arbiter-Agent) is an AI agent testing framework designed to make AI agent testing practical for modern applications. It addresses challenges faced by traditional UI testing frameworks and AI agents by breaking down complex tasks into smaller, dependent scenarios. The framework is customizable for various AI providers, operating systems, and form factors, empowering users with extensive customization capabilities. Arbigent offers an intuitive UI for scenario creation and a powerful code interface for seamless test execution. It supports multiple form factors, optimizes UI for AI interaction, and is cost-effective by utilizing models like GPT-4o mini. With a flexible code interface and open-source nature, Arbigent aims to revolutionize AI agent testing in modern applications.

This repository contains slides, notebooks, and data for the Machine Learning University (MLU) Responsible AI class. The mission is to make Machine Learning accessible to everyone, covering widely used ML techniques and applying them to real-world problems. The class includes lectures, final projects, and interactive visuals to help users learn about Responsible AI and core ML concepts.

abliterator.py is a simple Python library/structure designed to ablate features in large language models (LLMs) supported by TransformerLens. It provides capabilities to enter temporary contexts, cache activations with N samples, calculate refusal directions, and includes tokenizer utilities. The library aims to streamline the process of experimenting with ablation direction turns by encapsulating useful logic and minimizing code complexity. While currently basic and lacking comprehensive documentation, the library serves well for personal workflows and aims to expand beyond feature ablation to augmentation and additional features over time with community support.

This repository, GraphWiz, focuses on developing an instruction-following Language Model (LLM) for solving graph problems. It includes GraphWiz LLMs with strong graph problem-solving abilities, GraphInstruct dataset with over 72.5k training samples across nine graph problem tasks, and models like GPT-4 and Mistral-7B for comparison. The project aims to map textual descriptions of graphs and structures to solve various graph problems explicitly in natural language.

Neural Network Compression Framework (NNCF) provides a suite of post-training and training-time algorithms for optimizing inference of neural networks in OpenVINO™ with a minimal accuracy drop. It is designed to work with models from PyTorch, TorchFX, TensorFlow, ONNX, and OpenVINO™. NNCF offers samples demonstrating compression algorithms for various use cases and models, with the ability to add different compression algorithms easily. It supports GPU-accelerated layers, distributed training, and seamless combination of pruning, sparsity, and quantization algorithms. NNCF allows exporting compressed models to ONNX or TensorFlow formats for use with OpenVINO™ toolkit, and supports Accuracy-Aware model training pipelines via Adaptive Compression Level Training and Early Exit Training.

The AI Dev Gallery is an app designed to help Windows developers integrate AI capabilities within their own apps and projects. It contains over 25 interactive samples powered by local AI models, allows users to explore, download, and run models from Hugging Face and GitHub, and provides the ability to view the C# source code and export a standalone Visual Studio project for each sample. The app is open-source and welcomes contributions and suggestions from the community.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

RAVE is a variational autoencoder for fast and high-quality neural audio synthesis. It can be used to generate new audio samples from a given dataset, or to modify the style of existing audio samples. RAVE is easy to use and can be trained on a variety of audio datasets. It is also computationally efficient, making it suitable for real-time applications.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

Gemini-Android is a mobile application that allows users to track their expenses and manage their finances on the go. The app provides a user-friendly interface for adding and categorizing expenses, setting budgets, and generating reports to help users make informed financial decisions. With Gemini-Android, users can easily monitor their spending habits, identify areas for saving, and stay on top of their financial goals.

Hi! I'll convert your words into poor language. first, try to type "hamburger"

Expert on the Make Noise Spectraphon

Make custom Pokémon from camera. Download and battle them verses real ones! (beta)

Satirical take on the ridiculous secondary marketing of AI's early days.

I will explain any concept in calculus in a fun way!

Generates precise and friendly NDAs. Ensures all important clauses are covered.

I'll turn your crazy artwork ideas into posters, shipped straight to your door.

I'm a creative director for board game design.

Constructs and iteratively improves DryMerge YAML workflows.

Unleashes extreme humor and sarcasm in fashion critiques.

Expert on online freelancing, digital marketing, and e-commerce

Ideas for earning with AI

AI Money Insights Tool delivers expert guidance on topics like How to Make Money Online and Ways to Make Money Online, empowering you with smart strategies to Earn Money Online effectively. Explore AI-driven insights for your financial success.

A Guide To Speed Up Your Computer from Geeks On Command Computer Repair Company

A friendly GPT offering a mix of humor, info, and support.

I'll help you to make decisions that are imbued with Biophilia - the human tendency to be drawn towards life and life-like processes.

Can't make a decision? Then let Summer help you! Meet Summer, your warm and empathetic Decision Coach! She's here to help you navigate life's tough choices one decision at a time. Share your dilemma, and together, we will figure it out.

I’ll make any party a blast with mocktail recipes with whatever ingredients you have on hand.

Make Bingo cards about anything

Make Up Assistant for tutorials or product alternatives.