Trending Projects

JoJoGAN is a PyTorch-based library for one-shot face stylization, enabling developers to create anime-style portraits.

This Java-based repository provides a modular architecture for developers building AI-powered applications.

Concise PyTorch implementations of popular deep reinforcement learning algorithms like REINFORCE, A2C, DQN, PPO, DDPG, TD3, and SAC.

M2Det is a single-shot object detection model based on a multi-level feature pyramid network.

A curated list of best AI resources for developers, including tutorials, libraries, and tools.

This Python library provides tools for working with the CMeKG knowledge graph.

Pre-trained Chinese ELECTRA language model for natural language processing tasks.

This repository contains a dataset and code for a study on using large language models for freelance software engineering.

A JavaScript library for building reinforcement learning agents, covering various RL algorithms.

A curriculum for learning about foundation models, from scratch to the frontier for AI-focused developers.

Official implementation of the KBLaM knowledge base augmented language model for AI-powered coding tools.

A C++ powered OCR tool that outputs JSON for easy integration with other programs.

A PyTorch implementation of image classification models for popular datasets like CIFAR-10, ImageNet, and more.

A comprehensive PHP Generative AI Framework using OpenAI GPT 4, inspired by Langchain.

A C++ implementation of Halcon's shape-based matching algorithm for computer vision applications.

This project is a PyTorch implementation of diffusion models, a powerful generative AI technique.

An ongoing research project for training transformer language models at scale, including BERT and GPT-2.

A pure Java speech recognition library that can be used in various applications.

TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.

A collection of must-read papers on Physics-Informed Neural Networks (PINNs), a powerful approach for solving differential equations.

A collection of codes for Reconfigurable Intelligent Surface (RIS) research related to 6G and wireless communication.

A curated list of representative LLMs text datasets for AI/ML developers to explore and leverage.

A collection of exercises and workshops for using TensorFlow, a popular deep learning framework.

A PyTorch repository with various neural network models like CNN, BiLSTM, GRU, and LSTM for developers working with AI tools.

functorch is a PyTorch library that provides JAX-like composable function transforms for gradient, hessian, and other computations.

A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.

A curated list of Machine Learning, AI, and NLP solutions for iOS development.

Knet.jl is a deep learning framework for the Julia programming language, focused on research and scientific computing.

A Python repository for experimenting with deep learning and computer vision using images of cats.

Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

BASNet is a PyTorch library for boundary-aware salient object detection, useful for computer vision applications.

A differentiable rendering library that enables Monte Carlo ray tracing without approximation for computer graphics and vision applications.

Code and examples from a book on practical natural language processing using Python and Jupyter Notebooks.

Barbershop: GAN-based Image Compositing using Segmentation Masks, a Python library for AI-powered image manipulation.

A real-time game translator with OCR that allows developers to build translation features into their games.

A concise machine learning cheatsheet covering the most popular algorithms.

A novel Multimodal Large Language Model (MLLM) architecture for structurally aligning visual and textual embeddings.

A simple and efficient Mamba implementation in pure PyTorch and MLX for AI-driven development.

Sample code for a TensorFlow tutorial on deep learning without a PhD

A PyTorch library for easy access to pre-trained models and model components for developers.

A curated list of recent Transformer-based computer vision papers and implementations.

Official repository of a book on deep learning with PyTorch, a popular machine learning framework.

A comprehensive collection of open-source AI/ML modules and models for a wide range of computer vision and NLP tasks, suitable for vibe coders.

A TypeScript-based AI agent for analyzing Twitter user personalities through machine learning.

An implementation of federated learning, a distributed machine learning technique, using PyTorch.

Provides a collection of efficient and well-tested metric learning algorithms in Python for machine learning tasks.

Unified Training of Universal Time Series Forecasting Transformers for accurate time series forecasting.

Advanced toolkit for medical image registration, segmentation, and processing, with a focus on neuroimaging.

An autonomous agent platform powered by large language models for AI-driven development workflows.

PyTorch implementation of SSD (Single Shot MultiBox Detector) object detection models with support for retraining on Open Images dataset.