Trending Projects

A simple Tensorflow-based chatbot demo for developers interested in building conversational AI.

All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.

A plug-and-play language model implementation that allows steering the topic and attributes of GPT-2 models.

Relation Networks for object detection, a Python library for computer vision tasks.

A PyTorch implementation of a generative adversarial network for learning cross-domain relations.

Minimal, clean Python implementation of the Byte Pair Encoding (BPE) algorithm for tokenization in LLMs.

A Python library for secure and private machine learning using federated learning and differential privacy

A deep reinforcement learning library for the Keras deep learning framework, enabling AI-powered applications.

A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.

GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.

An extremely simple tool for separating vocals and background music, completely localized for web operation.

DeepStream SDK Python bindings and sample applications for computer vision and video analytics

This repository provides code for a paper on using Python execution for visual reasoning tasks.

A diffusion-based model for generating realistic talking portrait videos.

A Java library that provides a set of examples for using the LangChain framework, which helps build applications with large language models.

Educational resources for developers, including Jupyter Notebooks and tools for machine learning.

A PyTorch library for semantic segmentation, a computer vision task to classify each pixel in an image.

A gym for reinforcement learning with verifiable rewards, focusing on reasoning and language models.

A Jupyter Notebook library focused on making tensor manipulation and visualization more accessible to developers.

A curated list of attention modules and plug-and-play modules for computer vision in Python.

A JavaScript library for arbitrary style transfer using TensorFlow.js, enabling creative coding and generative art.

A powerful named entity recognition tool for building AI-powered applications in Python.

This Java repository provides examples of using Spring for AI-related development.

This project is a deformation inpainting network for realistic face visually dubbing on high resolution video.

A Theano-based implementation of Deep Q-learning, a reinforcement learning algorithm.

ChatDBG is an AI-powered debugging tool that uses GPT-3 to help developers understand why their code is behaving unexpectedly.

A library for accelerating deep neural networks through channel pruning, a model compression technique.

An object detection framework that bridges the gap between anchor-based and anchor-free detection models.

A CVPR 2024 and TPAMI 2025 AI-powered multimodal learning architecture for vibe coders.

An accelerator for local LLM inference and fine-tuning on Intel XPUs, with seamless integration into popular LLM frameworks.

A machine learning-powered image inpainting tool that can remove watermarks from images.

A curated collection of Python scripts from basics to advanced, including automation tasks.

Provides Jupyter Notebook examples to help developers get hands-on with Pinecone vector databases.

A robust tool for segmentation of over 100 anatomical structures in medical imaging data.

An imbalanced dataset sampler for PyTorch that oversamples low-frequency classes and undersamples high-frequency ones.

A collection of high-impact and state-of-the-art single image super-resolution methods.

A comprehensive music transcription library that can detect beat, chord, drum, vocal, and instrument components.

Unofficial Parallel WaveGAN repository with PyTorch implementation of various neural vocoders for speech synthesis.

A PyTorch implementation of YOLOv2, a fast and accurate object detection model.

DeepRant is an AI-powered game chatting tool for developers who build with AI tools.

A self-supervised learning framework for learning general human representations from unlabeled images.

Code for the Lovász-Softmax loss, a loss function for image segmentation using neural networks.

A tool that helps developers easily share ChatGPT Plus/Claude Pro services with their peers.

Python library for solving basic Russian NLP tasks, with an API for lower level Natasha projects.

A Python library for deploying RKNN-based LLMs on Rockchip NPU platforms.

An overview of large language models (LLMs) for cybersecurity applications.

A Rust library that helps developers work with AI models more reliably and persistently.

Explore large language models (LLMs) in just 512MB of RAM for NLP and AI-powered applications.

Python-based automation tool for the Lian Lian Kan game, allowing users to quickly complete the game.

This Python library from UC Berkeley's RAIL lab is focused on reinforcement learning research and applications.