Trending Projects

A PyTorch implementation of various continual learning methods for AI/ML developers.

A flexible voxel-based mapping library for robotics, focused on truncated and Euclidean signed distance fields.

An approximate nearest-neighbor search library for Python and Java with a focus on ease of use and simplicity.

A collection of papers studying machine learning through the lens of category theory for developers.

A deep learning-based object detection library written in C++, with a focus on single-shot refinement for accurate object detection.

Evaluate your LLM-powered apps with TypeScript, a library for vibe coders building AI tools.

A TypeScript library that generates comic panels using a large language model and SDXL, powered by Hugging Face.

NVTabular is a feature engineering and preprocessing library for tabular data used in recommender systems.

An open-source Java machine learning framework for rapid development of ML and statistical apps.

PyTorch implementation of Graph Convolutional Networks, a powerful machine learning technique for graph data.

An implementation of the AlphaZero algorithm for the classic board game Gomoku (Five in a Row)

Official implementation of a hierarchical 3D generation model with a bootstrapped diffusion prior, for AI-generated content.

An open-source, multilingual text-to-speech synthesis system written in pure Java.

This is a Verilog-based GPGPU hardware project for accelerating AI/ML workloads.

A suite of image and video neural tokenizers for AI-driven content creation and analysis.

MLRun is an open-source MLOps platform for building and managing continuous ML applications.

A Python package that makes it easy for developers to create AI apps powered by various AI providers.

A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.

A high-performance AI-powered image super-resolution and restoration library for computer vision tasks.

This repository provides a collection of PyTorch tutorials, examples, and related books for developers interested in deep learning and AI.

A Python library that uses YOLOv5 and DeepSort to implement vehicle and pedestrian tracking and counting.

PyTorch implementation of SSD (Single Shot MultiBox Detector) object detection models with support for retraining on Open Images dataset.

A curated list of resources for the random forest machine learning algorithm.

A curated list of awesome Jupyter Notebook, Hub and Lab projects for data science and machine learning developers.

Lightweight C/C++ Extended Kalman Filter library with Python for prototyping embedded systems and IoT devices.

A collection of experiments and examples using the LangChain framework for building applications with large language models.

A Python toolbox for class-incremental learning, a machine learning technique for training models on a continuous stream of data.

An open-source framework and context engine for Retrieval Augmented Generation (RAG) powered by Pinecone vector database.

A TypeScript library that provides a free OpenAI GPT-4 API, enabling developers to build AI-powered applications.

A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.

A curated list of resources on text-to-image generation and synthesis, useful for AI-focused developers.

A C++ library that makes automatic differentiation (autodiff) easier to use and integrate into projects.

This repository contains the original code from the DeepMind Atari Deep Q-Learner article with some tweaks.

A real-time 3D talking face generation library for developers building AI-powered virtual assistants and avatars.

PyTorch implementation of the PointNet2/PointNet++ architecture for processing point cloud data.

A safe reinforcement learning from human feedback (RLHF) system for aligning large language models with human values.

A PyTorch Lightning template that makes it easy to adapt your existing PyTorch code to use the Lightning framework.

A Python library for computations and statistics on manifolds with geometric structures, useful for AI/ML developers.

A Facebook Messenger Bot with voice recognition, NLP, and features like restaurant search and memo transcription.

This is a library that explores using Fourier features to help neural networks learn high-frequency functions.

A Python library for Kalman filtering, smoothing, and parameter estimation using the EM algorithm.

This repository contains code and solutions for the Mathematics for Machine Learning (MML) book, a self-study resource for developers interested in the math behind machine learning.

A research repository focused on tabular deep learning, providing papers and Python packages.

PaddleGAN is a high-performance GAN library for developers working with AI-powered applications like image editing, style transfer, and motion transfer.

This repository provides Jupyter Notebook examples to try out deep learning models online using Google Colab.

A dataset and pretrained model for detecting safety helmet wearing, useful for computer vision projects.

A powerful Rust crate for building chains in large language models, enabling text summarization and complex task completion.

This is a combined repository for the RTX-Remix runtime and toolkit, focusing on path-tracing and RTX features.

A Python library for differentiable robotics and pose estimation using deep learning and optimization.

An ongoing research project for training transformer language models at scale, including BERT and GPT-2.