machine-learning
Conversational Data Analysis.
PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time, and effort when working with data.
PandasAI is a Python library that integrates generative artificial intelligence capabilities into pandas, making dataframes conversational. Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Segment Anything Model (SAM): a new AI model from Meta AI that can "cut out" any object, in any image, with a single click.
SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training.
openpilot is an open source driving agent.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
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Run AI with an API. Run and fine-tune open-source models. Deploy custom models at scale. All with one line of code.
Thousands of models contributed by our community. All the latest open-source models are on Replicate. They’re not just demos — they all actually work and have production-ready APIs.
AI shouldn’t be locked up inside academic papers and demos. Make it real by pushing it to Replicate.
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Scientific computing for LuaJIT. Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
Automatic Generation of Visualizations and Infographics with LLMs.
LIDA is a library for generating data visualizations and data-faithful infographics. LIDA is grammar agnostic (will work with any programming language and visualization libraries e.g. matplotlib, seaborn, altair, d3 etc) and works with multiple large language model providers (OpenAI, PaLM, Cohere, Huggingface). Details on the components of LIDA are described in the paper here and in this tutorial notebook. See the project page here for updates!.
AI-powered writing tool that helps you organize ideas and craft better arguments by asking mind-stimulating questions like Socrates
WiFi Solver is a web-based simulation tool that lets you simulate the WiFi signal strength in your house.
It is the evolution of the Android app WiFi Solver FDTD, originally launched in 2014. This app was written in the aftermath of a blog post about simulating WiFi called Helmhurts, which went a bit viral back then.
Take control of the media you consume every day with Fast Music Remover!.
A C++ based, lightweight music and noise remover for YouTube and other internet media, using DeepFilterNet for audio enhancement.
We consume, willingly or not, large amounts of media everyday, and that includes content that is emposed on us. Fast Music Remover gives you the choice to opt-out of them without missing out on the core content.
We're building a feature rich media processor that is efficient, modular and cross platform. It's being built for you! That means clean APIs for programmers, containerized on GHCR for remote users, with a Web UI providing seamless access to anyone interested!
A Jasper alternative open source with ChatGPT.
This project uses ChatGPT API to create almost any text based output for your need - from marketing content to blog post ideas and a lot more. It uses simple template based components to ask ChatGPT for generating results Creating new templates or tasks take about 30 mins. no more, so you can extend it for your needs or wait for new template release :)
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.
We write your reusable computer vision tools. Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can count on us!
Supervision provides a seamless process for annotating predictions generated by various object detection and segmentation models.
A machine learning accelerator core designed for energy-efficient AI at the edge.
Coral NPU is a hardware accelerator for ML inferencing. Coral NPU is an Open Source IP designed by Google Research and is freely available for integration into ultra-low-power System-on-Chips (SoCs) targeting wearable devices such as hearables, augmented reality (AR) glasses and smart watches.
Contribute to krishnaik06/The-Grand-Complete-Data-Science-Materials development by creating an account on GitHub.
AI Photo Enhancer. The only photo and video enhancer you'll ever need.
Transformative technology gives your low-quality visuals a stunning HD upgrade. Restore old photos to incredible detail and elevate your content to a professional level.
spaCy is a modern Python library for industrial-strength Natural Language Processing. In this free and interactive online course, you'll learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration. It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration.
WAGMIOS is a self-hosted container management system with AI-powered automation. It enables you to efficiently manage your containers with W.I.L.L.O.W, an AI assistant that optimizes your workflow.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
RMBG v1.4 is our state-of-the-art background removal model, designed to effectively separate foreground from background in a range of categories and image types. This model has been trained on a carefully selected dataset, which includes: general stock images, e-commerce, gaming, and advertising content, making it suitable for commercial use cases powering enterprise content creation at scale. The accuracy, efficiency, and versatility currently rival leading open source models. It is ideal where content safety, legally licensed datasets, and bias mitigation are paramount.
On-device AI across mobile, embedded and edge for PyTorch
ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.
Triton is a language and compiler for parallel programming. It aims to provide a Python-based programming environment for productively writing custom DNN compute kernels capable of running at maximal throughput on modern GPU hardware.
Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers.
Our model enables highly natural speech generation from text prompts when given a speaker embedding or audio prefix, and can accurately perform speech cloning when given a reference clip spanning just a few seconds. The conditioning setup also allows for fine control over speaking rate, pitch variation, audio quality, and emotions such as happiness, fear, sadness, and anger. The model outputs speech natively at 44kHz.
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The RedPajama-Data repository contains code for preparing large datasets for training large language models. RedPajama-Data: An Open Source Recipe to Reproduce LLaMA training dataset.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
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Accurate AI Transcriptions in Minutes.
Web service proposing to transcribe video and/or audio content using AI
Karaoke from your music library. Machine learning powered Karaoke app (with scores!) .
Turn any song into karaoke. A self-contained party game that separates vocals, transcribes lyrics, and plays it all back with word-level sync and pitch scoring.
YOLOv5 in PyTorch > ONNX > CoreML > TFLite. YOLOv5 is the world's most loved vision AI, representing Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark.
EmoBox, a groundbreaking multilingual multi-corpus speech emotion recognition (SER) toolkit designed to streamline research in this field. EmoBox is accompanied by a meticulously curated benchmark tailored for both intra-corpus and cross-corpus evaluation settings.
Stability AI Language Models.
This repository contains Stability AI's ongoing development of the StableLM series of language models and will be continuously updated with new checkpoints. The following provides an overview of all currently available models. More coming soon.
Open Source Data Labeling.
The most flexible data labeling platform to fine-tune LLMs, prepare training data, or evaluate AI systems. Label Studio is a multi-type data labeling and annotation tool with standardized output format. Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI.
Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Inspired by Perplexity AI, it's an open-source option that not just searches the web but understands your questions. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.
PhotoPrism® is an AI-Powered Photos App for the Decentralized Web.
It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.
ZML is a production inference stack, purpose-built to decouple AI workloads from proprietary hardware.
Any model, many hardwares, one codebase, peak performance. Compiled directly to NVIDIA, AMD, TPU, Trainium for peak hardware performance on any accelerator. No rewriting.
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⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs.
Vigil is a Python library and REST API for assessing Large Language Model prompts and responses against a set of scanners to detect prompt injections, jailbreaks, and other potential risks.
A free & open tool for transcribing audio interviews.
oTranscribe is a free web app designed to take the pain out of transcribing recorded interviews.
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate.
Welcome to Verba: The Golden RAGtriever, an open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. In just a few easy steps, explore your datasets and extract insights with ease, either locally with HuggingFace and Ollama or through LLM providers such as OpenAI, Cohere, and Google.
A playbook for effectively prompting post-trained LLMs.
This document is for anyone who would like to get better at prompting post-trained LLMs. We assume that readers have had some basic interactions with some sort of LLM (e.g. Gemini), but we do not assume a rigorous technical understanding.
The Data Layer for Agentic Enrichment and ML Features. The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Featureform is a virtual feature store. It enables data scientists to define, manage, and serve their ML model's features. Featureform sits atop your existing infrastructure and orchestrates it to work like a traditional feature store. By using Featureform, a data science team can solve the following organizational problems:
AI Data Management at Scale - Curate, Enrich, and Version Datasets.
DataChain is a modern Pythonic data-frame library designed for artificial intelligence. It is made to organize your unstructured data into datasets and wrangle it at scale on your local machine. Datachain does not abstract or hide the AI models and API calls, but helps to integrate them into the postmodern data stack.
Datachain enables multimodal API calls and local AI inferences to run in parallel over many samples as chained operations. The resulting datasets can be saved, versioned, and sent directly to PyTorch and TensorFlow for training. Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them.
The Powerful Multi-modal LLM Family for OCR-free Document Understanding. Modularized Multimodal Large Language Model for Document Understanding.
Qdrant (read: quadrant ) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.
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BOLT is a post-link optimizer developed to speed up large applications. It achieves the improvements by optimizing application's code layout based on execution profile gathered by sampling profiler, such as Linux perf tool.
Local & OnPremise AI. Run LLMs offline. Tap into your private knowledge base. Interact with your documents using the power of GPT, 100% privately, no data leaks
PrivateGPT is a production-ready AI project that allows you to ask questions about your documents using the power of Large Language Models (LLMs), even in scenarios without an Internet connection. 100% private, no data leaves your execution environment at any point.
Distribute and run LLMs with a single file.
Our goal is to make open LLMs much more accessible to both developers and end users. We're doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file executable (called a "llamafile") that runs locally on most computers, with no installation.
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library and tools for information extraction.
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors.
A compression based language model.
gzipt generates text using gzip as its only model. No neural network, no training, no parameters. You prime it with a corpus, and it continues a prompt by searching for the byte sequences that compress best, because what compresses well is what the model predicts.
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Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.
💫 Industrial-strength Natural Language Processing (NLP) in Python.
spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.
spaCy comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification and more, multi-task learning with pretrained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. spaCy is commercial open-source software, released under the MIT license.
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Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production. We aim it running everywhere like desktop PCs, HPC clusters, embedded devices and production servers.
A fast tool to read text-based files in a repository or directory, chunk them, and serialize them for LLM consumption.
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations.
KTransformers, pronounced as Quick Transformers, is designed to enhance your 🤗 Transformers experience with advanced kernel optimizations and placement/parallelism strategies.
KTransformers is a flexible, Python-centric framework designed with extensibility at its core. By implementing and injecting an optimized module with a single line of code, users gain access to a Transformers-compatible interface, RESTful APIs compliant with OpenAI and Ollama, and even a simplified ChatGPT-like web UI.
AI powered documentation writer.
Writing documentation sucks. Let Mintlify take care of it. Just hightlight code and see the magic.
Neuro.js is machine learning framework for building AI assistants and chat-bots.
R interface to Apple’s MLX (Machine Learning eXchange) library.
Rmlx provides an R interface to Apple’s MLX framework, enabling high-performance GPU computing on Apple Silicon.
GAIA Logo GAIA: AI Agent Framework for AMD Ryzen AI.
GAIA is AMD's open-source framework for building intelligent AI agents that run 100% locally on AMD Ryzen AI hardware. Keep your data private, eliminate cloud costs, and deploy in air-gapped environments—all with hardware-accelerated performance.
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Get up and running with large language models, locally. Run Llama 2 and other models on macOS. Customize and create your own.
GPT CLI to auto-generate impressive commits in 1 second 🤯🔫
Self-hosted AI audio transcription.
This is Scriberr, a self-hostable AI audio transcription app. Scriberr uses the open-source Whisper models from OpenAI, to transcribe audio files locally on your hardware. It uses the Whisper.cpp high-performance inference engine for OpenAI's Whisper. Scriberr also allows you to summarize transcripts using OpenAI's ChatGPT API, with your own custom prompts. Summarization using ollama is also supported.
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