Trending Projects

A Python library that generates Mario levels using a large language model (GPT-2).

Video classification tools using 3D ResNet for action recognition and computer vision tasks.

Res2Net-PretrainedModels is an official PyTorch implementation of the Res2Net multi-scale backbone architecture for computer vision tasks.

Comprehensive analysis of adversarial threats against AI systems, useful for developers building secure AI applications.

Rust-based library for building dynamic neural networks and performing autodifferentiation.

A collection of Jupyter Notebooks for learning and applying deep learning using Keras and TensorFlow.

This is a repository containing Jupyter Notebooks focused on deep learning and AI/ML topics.

A curated collection of must-read papers on pre-trained language models for developers and researchers.

Native multimodal model for high-quality image generation with text-to-image capabilities

An efficient video loader for deep learning with smart shuffling, easy to use in AI/ML projects.

A C++ library for restoring defocused and blurred photos/images.

A powerful open-source chatbot framework that lets you build your own ChatGPT-like bots for various platforms.

A timeline of the latest AI models for audio generation, starting in 2023.

A Kaggle competition solution for predicting web traffic using RNNs and time series analysis.

An interactive visualization library for exploring and interpreting topic models built with natural language processing.

Open-source library for versioning, metadata, and experiment management of ML models.

Generate animated math/physics visualizations & study notes from text/images using Manim

A Python library for Chinese word segmentation, part-of-speech tagging, and named entity recognition.

A quickstart and benchmark for PyTorch distributed training, useful for ML/AI developers.

A cyber-physical programming environment for developers building creative and performant applications.

A multilingual dialog corpus for building chatbots and conversational AI systems.

A high-performance local vector database for building AI-powered applications and LLM agents.

Demonstrations of Magenta Models, a set of open-source machine learning models for music and art generation.

A TypeScript library that provides a cheap API to access ChatGPT 4o, GPT-5, and Claude-4 models

Automatic 2D-to-3D video conversion tool using convolutional neural networks.

A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.

This repository contains code for a paper on motion representations for articulated animation, a key component in AI-driven animation and video generation.

Luminol is an anomaly detection and correlation library for Python, useful for identifying unusual patterns in data.

A financial valuation model for Tesla, an excerpt from the ARK Invest research.

A Python library that adds a 'LoRA' block to the Stable Diffusion web UI for customizing model weights.

A ChatGPT integration for the Feishu (Lark) messaging platform, allowing developers to build AI-powered chatbots.

Source code for a research paper exploring the relationship between self-attention and convolutional layers.

A toy path tracer for learning purposes, with support for CPU/GPU, C++/C#, Win/Mac/Wasm, DX11/Metal, and Unity.

Tencent Pre-training framework in PyTorch with a pre-trained model zoo for NLP tasks

A Python library that provides a reverse-engineered API for interacting with Microsoft's Bing Chat AI.

A curated collection of papers and code related to generative adversarial networks (GANs) for AI developers.

A general-purpose encoder-decoder framework for TensorFlow, useful for building machine translation models.

A comprehensive resource for learning deep reinforcement learning with Python and Jupyter Notebook.

An offline, cross-platform LLM that can pass the US Medical Licensing Exam, with private health data storage.

Novel sparsity technique for LLMs using conditional memory and scalable lookup to reduce model size and improve efficiency.

The next generation deep reinforcement learning toolkit for AI researchers and developers.

A project that demonstrates how to perform computer vision tasks using just Microsoft Excel formulas.

R-CNN: Regions with Convolutional Neural Network Features, a MATLAB library for object detection using deep learning.

A Java-based computer vision algorithm inference framework used in the developer's projects.

An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API, enabling .NET developers to integrate AI tools into their applications.

A Python library for end-to-end 3D scene reconstruction from posed images.

A collection of tutorials and implementations for various deep learning algorithms using TensorFlow.

A comprehensive machine learning library for R, providing a unified interface to a wide range of algorithms.

A collection of Python code and resources related to natural language processing tasks like topic modeling, text classification, and machine translation.

Bottom-up attention model for image captioning and visual question answering, built on Faster R-CNN and Visual Genome.