Trending Projects

OpenCV-based Python library for building autonomous RC cars with neural networks.

An open-source text-to-speech software that enables high-quality, free-to-use voice generation.

SecGPT is a Python library that provides a large language model for network security applications.

A curated list of must-read papers on large language model agents and their applications.

A multi-agent particle environment used in research on cooperative-competitive AI agents.

An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.

A deep face detection library for Python with high accuracy and real-time performance.

A playground for running AI red teaming exercises, including infrastructure setup.

A dataset of worldwide building footprints derived from satellite imagery for geospatial and computer vision applications.

This repository contains a collection of LLM (Large Language Model) interview questions asked at top tech companies.

A TypeScript SDK for the LM Studio platform, an AI-powered developer tools ecosystem.

A curated list of resources for interpreting and understanding large language models (LLMs).

PyTorch implementation of the MoCo v3 unsupervised learning algorithm for feature representation.

A library for few-shot learning using prototypical networks, based on a NeurIPS 2017 paper.

An open-source implementation of a state-of-the-art unsupervised image denoising algorithm for developers working with computer vision.

Official code for a CVPR2022 paper on end-to-end video inpainting using optical flow.

MASS is a pre-training framework for language generation tasks using masked sequence-to-sequence learning.

A Python library for predicting depth maps from single RGB images using a fully convolutional residual network (FCRN).

A toolbox for spectral compressive imaging reconstruction with state-of-the-art algorithms.

A fast and robust feature matching library for computer vision tasks like SfM and SLAM.

Distributed Computing for AI Made Simple - a Python library for building scalable AI workflows.

A feature showcase for the Stable Diffusion web UI, a popular AI-powered image generation tool.

Stable Diffusion model for generating images on Apple Silicon devices using Core ML.

A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.

An image-to-image AI tool that helps developers create and refine their designs and visuals.

A collection of trained models for the Tesseract OCR engine, a powerful open-source optical character recognition tool.

Open-source multilingual multimodal chat language models for AI-powered chatbots and conversational agents.

A book series on probabilistic machine learning for developers building AI-powered applications.

PyTorch implementation of PointNet and PointNet++ for 3D point cloud classification and segmentation.

Instruction Tuning with GPT-4, a library for fine-tuning large language models like GPT-4 for custom tasks.

InstantMesh is an efficient 3D mesh generation tool that can create high-quality 3D meshes from a single image.

Python library for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data.

A Chrome extension that uses Meta's Segment Anything Model to extract and copy objects from images.

Open source neural machine translation library in Torch, focused on deep learning for natural language processing.

Official implementation of EAGLE, a framework for developing AI-powered coding tools and language models.

This is the official implementation of Multi-Agent PPO (MAPPO), a reinforcement learning algorithm for multi-agent environments.

A JavaScript-based Gobang (Five-in-a-Row) AI game, built using the Alpha-Beta pruning algorithm.

A model-agnostic framework for extracting features from machine learning models at any resolution.

A curated list of Diffusion Model in RL resources for developers working with AI tools.

A TypeScript library for building better AI agents and tools in the MCP ecosystem.

Adapts Meta AI's Segment Anything model to downstream tasks using adapters and prompts.

A TypeScript tool to get article summaries and bypass paywalls, powered by AI and next-gen web frameworks.

TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.

RAG Search API is a Python library that provides a search engine API powered by Retrieval Augmented Generation (RAG) models.

A comprehensive survey of deep learning-based image fusion techniques for computer vision applications.

A Python GUI tool for offline transcription of speech recordings, including speaker diarization, using state-of-the-art machine learning models.

Minimal LLM inference in Rust, a lightweight library for running large language models.

A next-generation AGI system that redefines intelligence as entropy reduction rather than attention modeling.

PyTorch Handbook is a comprehensive guide for learning and using PyTorch in deep learning, with tested tutorials and examples.

A comprehensive list of open-source large language models (LLMs) available for commercial use.