Trending Projects

An open-source project for tracking and segmenting any objects in videos using AI models like SAM and AOT.

A Python library for human pose estimation, skeleton-based action recognition, and action synthesis.

A memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

A high-performance neural network libraries for deep learning written in Python.

DeepWalk is a Python library that learns feature representations for nodes in a graph using deep learning techniques.

Comprehensive analytics, versioning, and ETL toolkit for multimodal data (video, audio, PDFs, images)

A multi-tool for semantic search, enabling advanced natural language processing and information retrieval.

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

A platform for exploring and experimenting with deep reinforcement learning techniques and applications.

A curated directory of free AI tools and websites for developers.

Unified backend API for open-source large language models like LLaMA, Bloom, ChatGLM, and more.

A Python library for 3D face reconstruction and animation using deep learning models.

A comprehensive AI roadmap and knowledge tree for developers focused on AI tools and technologies.

A multi-robot simulator for autonomous vehicles, focused on AI and machine learning development.

A curated collection of resources about graph-related large language models (LLMs) for developers.

A modular reinforcement learning library to fine-tune language models to human preferences

A C++ library for real-time multiple object tracking using the Hungarian algorithm and Kalman filters.

This GitHub repository provides a curated list of resources related to neural rendering, a technique in computer graphics and computer vision.

A collection of scripts and utilities for the Cityscapes Dataset, a popular dataset for computer vision tasks.

A comprehensive collection of resources for model quantization research and optimization.

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

A collection of awesome chatbot projects, corpus, papers, and tutorials for developers working with AI-powered chatbots.

A collection of notes and Python implementations of statistical learning methods.

A Python chatbot framework with natural language understanding and AI capabilities, focused on developer tools.

This GitHub repository is a comprehensive tutorial for learning machine learning in just two months, featuring Jupyter Notebooks and covering essential ML concepts.

Open-source Python library for generating synthetic text images, useful for computer vision tasks.

An integrated federated learning library for research and production use cases.

Public repo for DeepLearning.AI's Machine Learning Engineering for Production Specialization

Web-based tool for labeling bitmap images and point cloud data for semantic segmentation ML models.

Exercise notebooks for Machine Learning modules on Microsoft Learn

A curated list of awesome adversarial machine learning resources for developers.

Serverless AI agent framework with geo-distributed edge AI infrastructure for low-latency real-time applications.

Open-source embedding and re-ranking models for Netease Youdao's RAG (Retrieval-Augmented Generation) products.

Collection of CVPR and NeurIPS poster examples and templates for AI/ML researchers and developers.

A comprehensive guide for building production-ready RAG-based LLM applications using the Ray framework.

A C++ library for visual-inertial odometry and simultaneous localization and mapping (SLAM) with 3D mesh generation.

An LLM compiler that enables efficient parallel function calling for large language models.

A curated list of awesome embedding models tutorials, projects and communities for machine learning and NLP.

A PyTorch implementation of the Faster R-CNN object detection algorithm that can be trained on VOC dataset.

A PyTorch library for building state-of-the-art semantic segmentation models for computer vision tasks.

Scalable reinforcement learning solution for advanced reasoning of language models.

A curated list of awesome resources for generative art, covering tools, frameworks, and inspiration.

CodeXGLUE is a comprehensive benchmark for evaluating the performance of large language models on a variety of coding-related tasks.

This repository provides a real-time 4D view synthesis system that can generate 4K resolution outputs.

A curated list of deep learning resources, including topics like CNN, LSTM, and TensorFlow.

A Python library for interpretability and explainability of data and machine learning models.

A powerful vision-language pre-training method for tasks like image-text retrieval and captioning.

A platform for experimenting and researching the interaction of automated agents in simulated network environments.

A Temporal Graph Convolutional Network for predicting urban traffic flow using time-series data.

A PyTorch extension library with optimized scatter operations for efficient data processing.