Trending Projects

A Python library for exploratory analysis of Bayesian models with a focus on the vibe coding community.

A domain-specific language for expressing machine learning workloads, useful for vibe coders building with AI tools.

A comprehensive guide to implementing large language models with LangChain for AI/GenAI applications.

A diffusion-based model for generating realistic talking portrait videos.

A depth map library for use with the Control Net extension for the Automatic1111/stable-diffusion-webui.

An open-source virtual assistant for Ubuntu-based Linux distributions, focused on speech recognition and natural language processing.

A Python tool for reading prompts from Stable Diffusion generated images outside the web UI.

An open-source library for encoding images from arbitrary camera rigs using implicit 3D unprojection.

A repository for few-shot learning machine learning projects, focused on meta-learning and PyTorch.

NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields and probabilistic volumetric fusion.

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

A Python library for planning with diffusion models to enable flexible behavior synthesis.

A full-stack framework for building cross-platform mobile apps with AI capabilities using React Native and TypeScript.

FinRL Tutorials - a collection of Jupyter Notebooks for financial reinforcement learning.

StarDist is an object detection library for bioimage analysis and cell segmentation using deep learning.

A transformer-based model for neighborhood attention, useful for computer vision tasks.

A PyTorch-based implementation of the PaddleOCR optical character recognition model, enabling developers to leverage state-of-the-art AI for text detection and recognition.

Tensorflow learning notes, code, and machine learning advancement series for developers.

A Python-based GUI tool for generating subtitle files from videos using a Transformer-based framework.

Rust-based library for building dynamic neural networks and performing autodifferentiation.

Implementation of SegNet, a deep convolutional encoder-decoder for semantic pixel-wise labeling.

Stable Diffusion WebUI Colab notebook for running AI-powered image generation on Google Colab

An open-source machine learning framework for .NET that enables developers to build AI-powered applications.

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

A comprehensive roadmap for learning essential machine learning concepts and tools.

The official PyTorch implementation of Google's Gemma models for AI-powered coding and developer tooling.

Superduper is an end-to-end framework for building custom AI applications and agents using Python, PyTorch, and Transformers.

A Python library of extension and helper modules for data analysis and machine learning.

A PyTorch baseline implementation for person re-identification and vehicle re-identification tasks.

OmniGen is a unified image generation library that supports diffusion models, multi-modal and multi-task learning.

An open-source video perception toolbox for object detection, tracking, and instance segmentation tasks.

A highly efficient implementation of Gaussian Processes in PyTorch for GPU-accelerated machine learning.

A Go library for efficient multilingual NLP and text segmentation, supporting English, Chinese, Japanese, and others.

KenLM is a high-performance language model library for natural language processing tasks.

A Python library for building local real-time voice AI applications.

BEVDet is a Python-based codebase for the BEVDet series, a computer vision model for object detection in autonomous driving.

Efficient context window extension for large language models, enabling faster and more accurate inference.

Open-source reinforcement learning code for training the AgiBot X1, a robotics platform for AI developers.

A repository for a Jupyter Notebook project focused on machine learning for algorithmic trading.

OctoTools is an agentic framework with extensible tools for complex reasoning, targeting vibe coders.

Code for learning agile robotic locomotion skills by imitating animal movements.

Automated Time Series Forecasting library for Python with advanced features like deep learning and feature engineering.

This repository provides Jupyter Notebook examples for deep learning using PyTorch and Hugging Face

A Python library for 6-DoF tracking and 3D reconstruction of unknown objects using neural networks.

This is an AI-powered medical coding tool that leverages large language models for complex reasoning.

A high-performance parallel environment execution engine for reinforcement learning environments.

A curated list of resources for the random forest machine learning algorithm.

Magenta Studio is a collection of music plugins built on Magenta's open source AI tools and models.

A high-performance, end-to-end deep learning-based captcha recognition model for developers.

Official PyTorch implementation of BigVGAN, a neural vocoder for generating high-quality audio, music, and speech.