Trending Projects

VideoX is a collection of video cross-modal models for developers working with AI-powered video tools.

A collection of exercises for the book Artificial Intelligence: A Modern Approach, focused on AI and machine learning.

Experts.js provides an easy way to create and deploy OpenAI assistants as modular AI agents with expanded memory and attention.

A Python library for bi-level optimization, useful for training AI models and algorithms.

mlr3 is a next-generation machine learning framework in R that provides a unified API for various ML tasks.

A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.

A recurrent neural network trained on Kanye West's discography to generate new rap songs and lyrics.

A comprehensive framework for building enterprise-grade conversational AI experiences using Azure Bot Service and Bot Framework.

A collection of TensorFlow tutorials and implementations of deep learning models like CNNs, RNNs, and GANs.

Keras-CV is an industry-strength Computer Vision library for Python that provides robust, high-performance computer vision workflows.

A PyTorch-based solution for various text classification models, including FastText, LSTM, TextCNN, and more.

A Python library that provides a Reinforcement Learning environment using the PyGame game engine.

Official PyTorch implementation of the MultiDiffusion model for controlled image generation, presented at ICML 2023.

A collection of Jupyter Notebooks focused on building tools and agents for large language models (LLMs).

A Keras implementation of the WaveNet model for audio generation and processing.

An efficient multi-scale 3D convolutional neural network for medical image segmentation tasks.

A Chinese named entity recognition (NER) library built using TensorFlow deep learning.

PyTorch implementation of a lossless image compression technique using super-resolution.

This repository contains machine learning notes, focused on Jupyter Notebooks, for developers interested in learning and exploring the field.

A curated list of papers on detecting hallucinations in large language models (LLMs).

A TypeScript library for training and deploying machine learning models on Node.js using TensorFlow.

A fast and powerful hierarchical vision transformer for computer vision tasks.

A privacy-focused middleware for AI-powered applications built on trusted execution environments like Intel SGX.

An index of algorithms for offline reinforcement learning (offline-rl) targeting AI and ML researchers.

A collection of 'black magic' tools, libraries, and resources for developers who build with AI tools.

limdu is a machine learning library for Node.js that provides a flexible and extensible framework for building AI applications.

A Python-based tool to create eye-catching music posters from Spotify data and lyrics.

pocl is a portable open-source implementation of the OpenCL standard for parallel programming on heterogeneous systems.

A sample repository showcasing workflows and experiences built on top of Microsoft Cognitive Services.

DepthAI is a high-performance, low-power embedded AI vision library for building computer vision and spatial AI applications.

Strategies for pre-training graph neural networks for better performance on graph-based machine learning tasks.

A general SLAM framework supporting different sensors and methods for 3D reconstruction and localization.

A library for running TensorFlow on Arm-based devices like Raspberry Pi, enabling machine learning on edge devices.

VMZ is a PyTorch-based model zoo for video modeling tasks, with a focus on building AI-powered video applications.

A powerful AI-powered image segmentation tool for developers and designers to quickly annotate and label images.

This is a curriculum for learning Natural Language Processing (NLP) from Siraj Raval's YouTube channel.

A zero-shot multi-speaker text-to-speech (TTS) and voice conversion library for developers.

This is a code repository for a book on Deep Learning with Keras, a popular Python library for building and training deep neural networks.

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond.

A family of lightweight multimodal models for chatGPT, GPT-4, and other large language models.

Real-time human pose estimation accelerated with NVIDIA TensorRT for efficient deployment on Jetson devices.

This repository contains code and material for a book on deep learning and the game of Go, focused on the AlphaGo and AlphaGo Zero algorithms.

Customizable implementation of the self-instruct paper for AI-powered coding tools and workflows.

An open-source corpus dataset for chatbots and question-answering systems in the insurance domain.

Open-source optical flow toolbox and benchmark for computer vision tasks powered by PyTorch.

A Python tool that allows you to easily convert text to video using AI-powered text-to-speech and image generation.

A Python library for implementing reinforcement learning algorithms.

A TensorFlow implementation of Neural Turing Machines, a class of models that can learn algorithms.

Distributed Computing for AI Made Simple - a Python library for building scalable AI workflows.

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