Discover quality open-source projects, submit projects anonymously, and claim and edit your own project.
A little curiosity. A world of open source.
THE FIRST COLLECTIONAn open-source UFC fight prediction project: Elo ratings, a gradient-boosted ensemble and a multi-task neural network blended into one calibrated scorer, evaluated by expanding-window walk-forward over 2018-2026, with a Streamlit matchup explorer and a weekly self-updating data pipeline.
An educational repository teaching supervised machine learning from first principles using Python, covering mathematical foundations and practical implementations.
WhisperLiveKit is a self-hosted, ultra-low-latency speech-to-text pipeline. It provides real-time transcription, speaker diarization, and translation via WebSocket and OpenAI/Deepgram-compatible APIs.
SANA is NVIDIA's open-source family of efficient diffusion models for high-resolution image and video generation, with training and inference code, linear attention, DC-AE compression and 4-bit deployment.
Stable Baselines3 (SB3) is a set of reliable PyTorch implementations of reinforcement learning algorithms designed for research and industry replication.
YOLOv5 is a fast, accurate computer vision framework in PyTorch for object detection, instance segmentation, and image classification. It supports training on custom datasets, inference from various sources, and exporting models to formats like ONNX, TensorRT, and CoreML.
Made With ML is an open-source course and codebase teaching how to design, develop, deploy and iterate on production-grade machine learning applications, covering MLOps, testing, serving, CI/CD and continual learning.
Official code repository for 'Build a Large Language Model (From Scratch)': step-by-step PyTorch implementation of GPT-like models, covering pretraining and finetuning with notebooks and exercises.
Collection of simple PyTorch implementations of neural networks and deep learning papers with documented side-by-side explanations, covering transformers, GANs, diffusion models, RL, optimizers, and more.
fastai is a deep learning library built on PyTorch that provides both high-level components for rapid productivity and low-level components for research and customization.
ComfyUI is a modular AI creation engine featuring a visual node graph interface for generating images, videos, audio, and 3D models using state-of-the-art open-source and closed-source models.
Keras 3 is a multi-backend deep learning framework that allows users to build and train models using JAX, TensorFlow, PyTorch, or OpenVINO.
A comprehensive toolkit for computer vision that provides model-agnostic building blocks for data loading, visualization, and dataset management.
DocsGPT is an open-source AI platform for building intelligent agents and assistants, featuring document analysis, multi-model support, and enterprise search capabilities.
A tiny GPT language model (~540M parameters) designed to be trained from scratch on consumer laptop hardware, with pretraining on Fineweb-edu and chat finetuning capabilities.
Cog packages machine learning models into production-ready Docker containers, automatically handling CUDA compatibility and generating an HTTP inference API from Python type definitions.
ONNX Runtime is a cross-platform accelerator for machine learning inference and training, supporting models from PyTorch, TensorFlow, and scikit-learn.
Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch, supporting universal probabilistic models and automated inference.
vLLM is a high-throughput, memory-efficient library designed for Large Language Model (LLM) inference and serving.
A comprehensive web interface for Stable Diffusion implemented using the Gradio library, providing a wide array of tools for AI image generation and manipulation.
