Trending Projects

Official repository of a book on deep learning with PyTorch, a popular machine learning framework.

A collection of datasets for deep learning with satellite and aerial imagery.

Fast C++ inference engine for Transformer models, supporting CUDA, MKL, and other optimizations.

A comprehensive document search and storage platform for building AI applications using Python.

A comprehensive interview prep resource for AIGC, LLM, and AI-related engineering roles.

A powerful behavior tree AI library for the Godot game engine, enabling vibe coders to build intelligent game agents.

A general fine-tuning kit for image/video/audio diffusion models, geared toward AI-powered developers.

A recurrent neural network designed to generate classical music, focused on AI-powered music composition.

A ComfyUI extension that allows developers to interrogate booru tags from images, useful for vibe coders.

A Python library that extends the Segment Anything Model (SAM) to enable zero-shot video segmentation with point-based tracking.

An end-to-end framework for high-resolution monocular metric depth estimation, useful for computer vision applications.

TensorFlowASR is an almost state-of-the-art automatic speech recognition library in TensorFlow 2 for vibe coders.

Voice cloning tool for real-time speech generation

Curated list of Machine Learning, NLP, Vision, and Recommender Systems project ideas for developers.

Reference implementations of several LangChain agents as Streamlit apps for AI-powered developers.

Free reinforcement learning course that takes developers from zero to pro using Jupyter Notebooks.

ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.

LibMTL is a PyTorch library for building multi-task learning models for deep learning applications.

A PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models.

An open-source library for GPU-accelerated robot learning and sim-to-real transfer.

A Jupyter Notebook library for building Kolmogorov Arnold Networks, a type of neural network.

A set of containers for running machine learning models and applications on various ML frameworks.

An implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based on neocortical neuroscience.

An experimental real-time global illumination renderer written in Rust for vibe coders working on AI-powered projects.

Code for running RFdiffusion, a machine learning library for protein structure prediction.

A robust tool for segmentation of over 100 anatomical structures in medical imaging data.

A modular simulation framework and benchmark for robot learning using reinforcement learning and physics simulation.

GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.

A secure low-code honeypot framework that leverages AI for system virtualization and preemptive cybersecurity.

A Python guide to using pre-trained large language models (LLMs) for source code analysis and generation.

An open-source library for building generative multimodal AI models, with a focus on foundation models, in-context learning, and multimodal pretraining.

SunoAPI allows developers to create music and audio in seconds using AI-powered tools.

This Python library from UC Berkeley's RAIL lab is focused on reinforcement learning research and applications.

A collection of 'black magic' tools, libraries, and resources for developers who build with AI tools.

A small fast portable speech synthesis system written in C.

A feature-rich GPT wrapper for Git that generates commit messages with an LLM in 1 second, supporting various providers and local models.

The I-JEPA codebase provides a self-supervised learning architecture for joint image-text embedding.

Chunkr is a Rust-based vision infrastructure for turning complex documents into RAG/LLM-ready data.

A curated list of awesome resources about LLM-powered agents, including papers, repos, and blogs.

A benchmark for measuring the performance of AI agents at machine learning engineering tasks.

A deep reinforcement learning project for mobile robot navigation in a Gazebo simulator using the ROS framework.

A comprehensive benchmark for spatio-temporal predictive learning, with a focus on AI-powered weather forecasting and video prediction.

A fast and simple image labeling/annotation tool with support for multiple formats like COCO, PASCAL VOC, and more.

Kubeflow is a machine learning toolkit for building and deploying scalable ML pipelines on Kubernetes.

PromptFlow is a Python library to build high-quality LLM applications from prototyping to production deployment.

An open-source toolbox for image and video restoration tasks like super-resolution, denoising, and deblurring.

LightGlue is a high-performance local feature matching library for computer vision tasks like pose estimation.

A flexible, high-performance 3D simulator for Embodied AI research

A book on the foundations and models of machine translation, including deep learning and neural machine translation.

A Python library for deep reinforcement learning in finance, with dynamic datasets and market environments.