Trending Projects

Open source platform to build a small-scale self-driving car using computer vision and AI.

A survey and analysis of various large language model (LLM) agents and their capabilities.

A reinforcement learning environment based on the classic FPS game Doom, useful for AI and ML research.

A Rust-based developer platform for building AI-powered applications and tools.

A strong and open-source vision language assistant for mobile devices, leveraging the power of AI.

An open-source collection of computer vision tutorials and resources for developers.

ImagePlay is a rapid prototyping application for image processing, targeting developers working with computer vision and AI.

High-resolution 3D human digitization from a single image using a deep learning model.

A Python library for representation learning on large graphs using stochastic graph convolutions.

A full-stack application using LlamaIndex for real-world AI-powered insights and analytics.

A multi-functional OCR tool for text recognition, translation, text-to-speech, manga translation, and more.

Unofficial implementation of Palette: Image-to-Image Diffusion Models for AI-powered image generation and restoration.

A scalable system for training large language models (LLMs) with a focus on efficiency and performance.

A StarCraft II multi-agent reinforcement learning benchmark for developing AI agents.

A collection of natural language processing (NLP) research papers with code implementations in TensorFlow and PyTorch.

This C++ library is for visual-inertial odometry (VIO) and state estimation for robotic applications.

A Python library serving multiple LoRA finetuned large language models (LLMs) as one.

A higher-level neural network library for microcontrollers and embedded systems.

WebWhiz allows you to create an AI chatbot that knows everything about your product and can instantly respond to customer queries.

A collection of minimal and clean examples of machine learning algorithm implementations in Python.

An AI-powered image generation tool that can create high-quality images from text prompts.

PDF GPT allows you to chat with the contents of your PDF files using GPT capabilities.

ONNX-TensorRT is a C++ library that provides a TensorRT backend for the ONNX deep learning framework.

KenLM is a high-performance language model library for natural language processing tasks.

A JAX-based library for Monte Carlo tree search, a reinforcement learning technique useful for AI agents.

A Python library to assess and improve fairness of machine learning models.

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

An offline AI knowledge base and agent built with .NET, Blazor, and Semantic Kernel, supporting local AI models.

Efficient training and inference framework for sparse convolution on GPUs, useful for AI and ML developers.

PyTorch compiler that accelerates training and inference with built-in optimizations.

Image Signal Processor (ISP) library for Python, used in computer vision and image processing applications.

This is a Lua library for building neural networks, a core component of deep learning frameworks.

PANet is a Python library for instance segmentation and object detection using deep learning.

An open-source library for encoding images from arbitrary camera rigs using implicit 3D unprojection.

A PyTorch implementation of the SimSiam self-supervised learning algorithm, useful for AI and ML developers.

A Flutter plugin that provides access to Google's standalone ML Kit for mobile app development.

No description available for a Python repository focused on reinforcement learning.

A neural 3D mesh renderer library for creating photorealistic 3D scenes from images.

A Jupyter Notebook repository for materials discovery, likely focused on AI and machine learning

A curated list of resources for building multi-modal GUI agents using large language models.

A multi-modal and multi-scenario dataset for ground robots research and SLAM applications.

A curated list of causal inference libraries, resources, and applications for developers.

Next.js frontend for the LangChain conversational AI framework, enabling developers to build AI-powered chat applications.

A Python framework for creating AI agents that can learn to play any game you own

A lightweight stack to create and host your own AI companions with memory capabilities.

This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.

A Python library for creating videos using the Stable Diffusion text-to-image AI model, with exploration of the latent space.

A Python library to help data scientists infer causation from data rather than just observing correlation.

Advanced implementation of the LOAM (Lidar Odometry and Mapping) algorithm for lidar-based SLAM.

An innovative AI-powered document understanding and OCR platform from Alibaba Research.