Trending Projects

OpenGV is a collection of computer vision methods for solving geometric vision problems.

R-FCN with joint training and Python support for object detection and computer vision tasks.

An AI-powered tool to upscale images by 4x while preserving photo-realistic details, built using TensorFlow.

A research paper on first-order meta-learning algorithms, with associated code in JavaScript.

Official implementation of a fashion image-to-video synthesis model using Stable Diffusion.

ReactiveX/RxJava - A library for composing asynchronous and event-based programs using observable sequences for the Java VM.

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

A PyTorch implementation of the EfficientNet deep learning model for image classification and feature extraction.

A curated list of scary AI use cases to raise awareness about the potential negative impact of AI.

A state-of-the-art open visual language model for multimodal pretraining and applications.

Tutorials on implementing sequence-to-sequence models with PyTorch and TorchText for machine translation and more.

PyTorch implementation of the MoCo self-supervised learning framework for computer vision tasks.

A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.

An open-source toolbox for text detection, recognition, and understanding tasks powered by PyTorch.

GLIDE is a diffusion-based text-conditional image synthesis model that allows developers to generate images from text descriptions.

ChatOllama is an open-source AI chatbot that brings cutting-edge language models to your fingertips while keeping your data private and secure.

A catalog of Jupyter Notebook templates for data and AI projects, organized by tools and following the IMO framework.

Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos using semantic search.

Turn expensive prompts into cheap fine-tuned models for AI developers and ML engineers.

A TypeScript library that helps developers craft prompts for Large Language Models.

An open-source, multilingual text-to-speech synthesis system written in pure Java.

A tool for converting TensorFlow, Keras, TensorFlow.js, and TFLite models to the ONNX format.

A repository for practical deep learning projects including image recognition and classification.

Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.

A robust, TypeScript-friendly face detection and recognition library for Node.js projects.

A library for understanding and improving diffusion-based generative models, a key technique in AI-powered creative tools.

Code for Holistically-Nested Edge Detection, a C++ library for edge detection in computer vision.

NLTK Data is a collection of datasets, models, and other resources for natural language processing in Python.

An easy-to-use Python library for extracting information from documents using state-of-the-art AI models.

Environment generation code for research on emergent tool use from multi-agent autocurricula.

A dataset and tools for the Project CodeNet dataset, hosted in the DAX platform, for AI-focused developers.

A Python library that provides building blocks for rapid development of generative AI applications.

Apache OpenNLP is a machine learning-based toolkit for natural language processing (NLP) tasks.

A PyTorch implementation of the BiDAF network for question-answering on the SQuAD dataset.

A PyTorch library for working with neural fields like NeRFs, NGLOD, instant-ngp, and VQAD.

A collection of papers studying machine learning through the lens of category theory for developers.

An open-source library for training and running state-of-the-art diffusion models in Python.

A Python library that generates collaborative AI agents for complex tasks using GPT models.

Tensor Algebra Compiler (taco) is a C++ library for computing sparse tensor expressions on CPUs and GPUs.

Deprecated natural language parsing library for building conversational AI apps.

A repository of Azure OpenAI samples to complement the OpenAI cookbook.

Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.

A tutorial that takes developers from no deep learning knowledge to implementing GPT using PyTorch.

VideoLLaMA 2 is a Python library that advances spatial-temporal modeling and audio understanding in video-based large language models.

High-performance Rust stream processing engine that seamlessly integrates AI capabilities for real-time data processing.

A collection of paper reading notes on deep learning and machine learning topics.

Implement AlphaZero/AlphaGo Zero methods for Chinese chess using Python and deep learning.

Automated Deep Learning without any human intervention, the first solution for the AutoDL challenge@NeurIPS.

A Python tool to generate prompts for human portraits using AI image creation.

A collection of resources for learning about backdoor attacks and defenses in machine learning and deep learning.