Trending Projects

A Python guide to using pre-trained large language models (LLMs) for source code analysis and generation.

A platform for building and training multi-agent reinforcement learning systems.

A Haskell library for homomorphic machine learning, enabling secure computation on encrypted data.

A collection of large datasets for training conversational AI models and agents.

A fast, extensible, and multi-threaded C# library that simplifies the development of Genetic Algorithm applications.

A library for implementing hyperparameter optimization methods for machine learning and deep learning models.

A collection of demo projects for running machine learning models on iOS using CoreML, TensorFlow Lite, and ML Kit.

Easy-to-use, state-of-the-art neural machine translation library for 100+ languages.

A curated collection of resources for ChatTTS, including free demos, voice samples, and more for vibe coders.

A collection of Jupyter notebooks and tutorials on using LangChain and prompt engineering with large language models like ChatGPT.

A Python toolkit for rule-based/unsupervised anomaly detection in time series data

A collection of deep learning experiments and tutorials to help developers understand and apply deep learning techniques.

A PyTorch-based audio processing library for spectrograms, CQT, and neural network-based preprocessing.

A collection of samples and tools for building AI-powered Windows applications using frameworks like TensorFlow and PyTorch.

This repository is an archived collection of papers and code related to computer vision and machine learning.

A collection of TensorFlow 2.0 tutorials in Chinese for developers to learn AI and machine learning.

Facebook AI Research's end-to-end speech recognition toolkit written in C++.

This is a Tensorflow-based convolutional neural network for text classification, useful for building NLP applications.

MegEngine is a fast, scalable, and easy-to-use deep learning framework that supports auto-differentiation.

A Python-based OCR library that uses CTPN, CRNN, and CTC to perform text detection and recognition in natural scenes.

A book on feature engineering for machine learning, written in Python and JavaScript.

A collection of AI-related notes and resources for developers working with AI tools and technologies.

Submanifold sparse convolutional networks for efficient deep learning on 3D data

Library for training machine learning models with privacy for training data

Python bindings for Transformer models implemented in C/C++ using the GGML library.

A JavaScript library that provides a powerful geometric algebra generator for various languages.

A curated collection of major GPT language models and related tools for developers to discover and use.

A curated list of research on multimodal learning, useful for developers working on AI-powered applications.

A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.

A comprehensive list of contrastive self-supervised learning papers for machine learning researchers.

A PyTorch-based deep reinforcement learning library for developing AI agents and algorithms.

This repository contains a PyTorch implementation of GIRAFFE, a generative model for representing 3D scenes as compositional neural feature fields.

JXWAF is an AI-powered Web Application Firewall (WAF) built on OpenResty and Nginx-Lua.

A Python framework for building and training neural networks using the Theano library.

A Python implementation of the Kalman filter, a powerful algorithm for state estimation and tracking.

Mitsuba is a highly customizable, research-oriented renderer that provides a rich and flexible programming interface.

A PyTorch library for attacking and defending deep learning models against adversarial examples.

A companion repository for the book 'GANs in Action: Deep learning with Generative Adversarial Networks'.

A collection of must-read papers on recommendation systems and CTR prediction for developers working in computational advertising and AI-driven applications.

Official TensorFlow implementation for a CVPR2020 paper on learning to cartoonize images.

A Matlab/Octave toolbox for building deep learning models, including neural nets, autoencoders, and CNNs.

A personal GitHub page for a computer vision and deep learning researcher.

An extensible NLP framework for building powerful text processing and analysis applications in Python.

A curated collection of survey papers summarizing advances in deep learning, NLP, CV, and other ML domains.

A series of face generators based on StyleGAN2, a popular AI-powered image generation model.

A Python project that can recognize mathematical expressions from images and output the expression and result.

A curated list of deep learning applications in computational biology, useful for bioinformatics developers.

A curated list of awesome embedding models tutorials, projects and communities for machine learning and NLP.

An open-source tool to quantify the world using computer vision and YOLO object detection on edge devices.

A comprehensive list of ICs and IPs for AI, Machine Learning and Deep Learning development