Trending Projects

A collection of basic examples for learning and experimenting with Reinforcement Learning in Python.

A high-performance graph embedding system that supports CUDA and can be used for machine learning and knowledge graph applications.

Lightweight Python library for scraping websites using large language models (LLMs) and the Playwright browser automation tool.

An implementation of the TextRank algorithm for extracting keywords and summarizing text in Python.

A curated collection of resources for mixture-of-experts models, a powerful AI technique.

A Swift package that provides a transformers-like API for implementing transformers models in Swift.

This GitHub repository contains a dataset for training a raccoon detector using TensorFlow.

A deep neural text understanding framework for ranking and classification tasks in NLP.

RayLLM is a framework for serving large language models (LLMs) on the Ray distributed computing platform.

A PyTorch implementation of the DeepLab v3+ semantic segmentation model, allowing developers to train their own models.

Open-source notebooks for music information retrieval research and education.

This is a set of model analysis tools for TensorFlow, enabling developers to evaluate and optimize their machine learning models.

A PyTorch implementation of the Proximal Policy Optimization (PPO) algorithm for training an AI agent to play Super Mario Bros.

A JavaScript library for building voice-controlled web applications using speech recognition and synthesis.

A machine learning library for the Rust programming language.

Forge is a neural network toolkit for Metal, enabling efficient deep learning on iOS devices.

A Python framework to transform natural language questions into database query language.

A Python library that uses CLIP and MLP to predict the aesthetic score of images, useful for vibe coders.

A Python package to run contextualized topic modeling, combining BERT embeddings and topic models.

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

This is a dynamic multilevel Bayesian model for predicting US presidential elections, written in R and Stan.

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

A PyTorch implementation of the Quasi-Recurrent Neural Network, up to 16x faster than cuDNN LSTM.

A Python-based tool that allows customizing the 'cutoff' effect in Stable Diffusion, a popular AI-powered image generation model.

A desktop sandbox for connecting to large language models (LLMs) for secure computer use.

A multi-backend Keras API implementation with support for TensorFlow, JAX, and PyTorch.

Distributed deep learning on Hadoop and Spark clusters for vibe coders.

Scalable reverse image search built on Kubernetes and Elasticsearch for AI-powered developer tools.

Protege Desktop is a free, open-source ontology editor and knowledge-base framework for building intelligent systems.

A PyTorch template with implementations of classical CNNs, data augmentation, losses, and common ML algorithms.

NPBehave is an event-driven behavior tree library for creating AI-driven characters in Unity 3D games.

DeepLab-ResNet reimplementation in TensorFlow for semantic image segmentation.

Optimizes numerical and discrete search spaces with various gradient-free optimization techniques.

A comprehensive resource covering machine learning, computer vision, and engineering techniques.

An AI-powered platform for creating virtual influencers and content creators on platforms like Bilibili and Douyin.

A repository for replicating simple computer vision projects including attention, classification, detection, and more.

This GitHub repository appears to be a framework or library for training AI models to follow instructions provided by humans.

A collection of Jupyter Notebook code for deep learning courses using PyTorch.

A comprehensive survey of efficient large language models for AI and machine learning systems.

A JavaScript library for building AI-powered tools and applications that help developers leverage AI effectively.

A machine learning project walkthrough in Python demonstrating the end-to-end ML pipeline on a real-world dataset.

Neural model for converting Image-to-Markup, a useful tool for developers building AI-powered applications.

A toy Python implementation of the GloVe word embedding algorithm, useful for NLP developers.

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

This codebase demonstrates how to synthesize realistic 3D character animations from speech input and a static mesh.

A powerful library for photographic image synthesis using cascaded refinement networks.

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

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

A large-scale image-text dataset for training AI models, primarily focused on visual AI and multimodal AI tasks.

A Python library for visualizing Artificial Neural Networks (ANNs) for vibe coders working with AI tools.