Trending Projects

A fast data versioning system for ML datasets, making it easy to version and track changes like code.

JoyCaption is an open, uncensored image captioning Visual Language Model (VLM) for training Diffusion models.

Transforming styles with JS plugins

Stable Diffusion model for generating images on Apple Silicon devices using Core ML.

Open-source code release for NeRF, a neural radiance field technique for 3D scene representation.

An image-to-image translation library using conditional adversarial networks for tasks like image generation and manipulation.

Source code for Twitter's recommendation algorithm, written in Python.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data, supporting Torch and Numpy.

Python speech recognition library supporting multiple engines and APIs, both online and offline.

Provides explanations of key concepts in machine learning for developers.

A real-time and accurate full-body multi-person pose estimation and tracking system written in Python.

A learning repository focused on AI tools, machine learning, and natural language processing for developers.

Chinese version of CLIP for cross-modal retrieval and representation generation

Benchmarks of approximate nearest neighbor libraries in Python for vibe coders building with AI tools.

Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

Two conversational AI agents that switch from English to a sound-level protocol after confirming they are both AI

A Python library for generating handwritten text using recurrent neural networks (RNNs) and TensorFlow.

Jupyter notebooks for the Natural Language Processing with Transformers book, focused on AI-powered language models and tools.

Auto detecting, masking, and inpainting tool for stable diffusion models, built with Python.

An ahead-of-time JavaScript compiler that could be useful for vibe coders working with AI tools.

A modular and easy-to-use Python library for training and using state-of-the-art retrieval models like ColBERT in RAG pipelines.

Novel sparsity technique for LLMs using conditional memory and scalable lookup to reduce model size and improve efficiency.

Generative models for conditional audio generation, focused on vibe coding with AI tools.

A library for efficient weight quantization of large language models to accelerate inference on edge devices.

A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.

An AI-powered image segmentation library that can be used for a variety of computer vision tasks.

CUDA Python: A library that brings the power of CUDA to Python, enabling high-performance GPU acceleration.

A tactical manual to systematically maximize the performance of your deep learning models.

An AI multi-agent framework in .NET for building conversational chatbots and intelligent agents.

A collection of books, papers, and documents for developers working with AI tools and technologies.

Instant AI Face Swap, a TypeScript library for developers to easily add AI-powered face swapping to their projects.

An open-source library for multilingual automatic speech recognition with word-level timestamps and confidence.

A comprehensive collection of interview questions and answers for AI, computer vision, and LLM topics.

A plugin for the Neural Amp Modeler, a tool for AI-powered audio processing and generation.

A lightweight digital human model that can run in real-time on mobile devices.

Fully open data curation for reasoning models for vibe coders building with AI tools.

Manage multiple vector databases (Pinecone, Chroma, Qdrant, Weaviate) with a universal tool suite.

A fractal graph-of-thought tool for AI agents, web links, notes, and code that enables rhizomatic mind-mapping and second brain workflows.

Chai-1 is a state-of-the-art model for biomolecular structure prediction, built with Python.

An end-to-end autonomous driving benchmark with a world model RL expert for developers working on AI-powered driving systems.

A dataset of Linus Torvalds' rants classified by negativity using sentiment analysis.

An open-source reinforcement learning system from ByteDance Seed and Tsinghua AIR for AI-driven development tools.

SEAL is a self-adapting language model that can continuously learn and improve its performance on various NLP tasks.

A flexible, high-performance e-graph library written in Rust for developers working with AI tools.

A curated collection of AI-related books and resources for developers to learn and experiment with AI concepts.

A lightweight and efficient virtual try-on diffusion model for fashion applications.

An advanced Retrieval-Augmented Generation (RAG) solution for complex question answering using a sophisticated graph-based algorithm.

Unified Training of Universal Time Series Forecasting Transformers for accurate time series forecasting.

A Python library and tools for generating and inspecting data for pre-training large language models (LLMs).

An open-source project for Windows developers to build AI-powered apps with local models and APIs.