Stars
A high-throughput and memory-efficient inference and serving engine for LLMs
An extremely fast Python package and project manager, written in Rust.
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
🐍 Geometric Computer Vision Library for Spatial AI
An open source re-implementation of RollerCoaster Tycoon 2 🎢
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
⏩ Source-controlled AI checks, enforceable in CI. Powered by the open-source Continue CLI
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Because `model.fit()` isn't an explanation
Fully automatic censorship removal for language models
Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file
[Nature 2026] Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology reports for pretraining.
A minimal PyTorch re-implementation of AlphaFold2's model & training
High-level DICOM abstractions for the Python programming language
real time face swap and one-click video deepfake with only a single image
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Discover best root apps, Magisk/ KernelSu & LSPosed(xposed) modules & rooting guides
A Slurm cluster using docker-compose
Publicly available medical imaging datasets for research and analysis.
Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A PyTorch library and evaluation platform for end-to-end compression research
This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …
This repository contains the subjects covered in CEA bootcamp of Computer Vision