Trending Projects

A fast symbolic computation library for robotics, with capabilities like code generation and nonlinear optimization.

A large language model from Tencent's Hunyuan project, potentially useful for AI-powered coding tools and applications.

Kernl is a library that lets you run PyTorch transformer models several times faster on GPU with a single line of code.

A community-driven repository for Keras, a popular deep learning library for Python.

A Rust implementation of the TFHE homomorphic encryption scheme for working with encrypted data.

Apache OpenNLP is a machine learning-based toolkit for natural language processing (NLP) tasks.

A real-time globally consistent 3D reconstruction library using online surface re-integration.

A collection of papers and code for CVPR conferences focused on low-level computer vision tasks.

AgentScope Java: Agent-Oriented Programming framework for building LLM-powered applications

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3/V2, and other popular computer vision models for PyTorch.

A Python library for physics-based simulations involving cloth, solids, and rods, useful for vibe coders building AI-powered applications.

A pre-trained Chinese language model for text generation, useful for AI-powered coding and content creation.

A popular library for training, using, and evaluating word embeddings, a fundamental building block for natural language processing.

A cleaned and curated version of the Alpaca dataset from Stanford, useful for machine learning projects.

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources.

A TypeScript-based open-source project for building AI-powered group chat applications.

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

Code and models for Temporal Segment Networks (TSN) for action recognition in video understanding.

A Python library that provides agent techniques to augment and push the limits of large language models (LLMs).

Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.

A self-driving MarioKart game built with TensorFlow, a powerful machine learning library.

A project that helps automate the creation and distribution of short-form and long-form video content across social media platforms.

An AI-powered tool that extracts knowledge and generates summaries from PDF books, page by page.

This repository provides a dual LSTM encoder model for generating dialog responses using machine learning.

An open-source Korean language model for understanding natural language instructions.

A Python-based library for generating videos from code, focused on the vibe coding and AI tools ecosystem.

A collection of must-read papers on adversarial attacks and defenses for natural language processing.

A minimalistic implementation of the Self Organizing Maps (SOM) algorithm for clustering and dimensionality reduction.

A Python library for deep probabilistic analysis of single-cell and spatial omics data.

A Java toolkit for text similarity calculation and sentiment analysis, useful for NLP tasks.

Official implementation of a controllable character video synthesis model using spatial decomposed modeling.

A work-in-progress chess bot written in C# for developers interested in building chess AI.

A toolkit for 3D reconstruction and structure-from-motion computer vision tasks.

An open-source framework for detecting, highlighting, and correcting grammatical errors in natural language text.

AI-powered news aggregator that summarizes Twitter/RSS feeds with structured summaries and web dashboard

A PyTorch implementation of the Non-local Block, a key component in computer vision models.

Converts any music library into a sample-library using machine learning techniques.

A research paper on representation alignment for training diffusion models for AI-assisted code generation.

A high-level deep learning framework written in Kotlin and inspired by Keras.

NICE-SLAM is a neural implicit approach for scalable 3D reconstruction and localization.

An ensemble sampling toolkit for affine-invariant Markov Chain Monte Carlo (MCMC) in Python.

DeepAA is a Python library that uses deep learning to generate ASCII art from images.

High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.

PyTorch extensions for fast R&D prototyping and Kaggle competition tools

A diffusion-based generative model for creating novel views and videos from static images.

An open-source feature selection repository in Python for machine learning tasks.

FCIS is a library for instance-aware semantic segmentation, a computer vision technique useful for AI and robotics applications.

A toolkit to optimize machine learning models for deployment, including quantization and pruning.

In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.

Spearmint is a Bayesian optimization codebase for AI and machine learning experiments.