Self-hosted game stream host for Moonlight.

LLM inference in C/C++

cuVS - a library for vector search and clustering on the GPU

Machine Learning algorithms, with Numpy only

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

NumPy and SciPy on Multi-Node Multi-GPU systems

cuGraph - RAPIDS Graph Analytics Library

CUDA Python: Performance meets Productivity

FIL backend for the Triton Inference Server

⚡ Dynamically generated stats for your github readmes

scikit-learn: machine learning in Python

A JupyterLab extension for displaying dashboards of GPU usage.

cuML - RAPIDS Machine Learning Library

Implementation from scratch in CUDA C++ of image processing algorithms.

NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.

Official Pytorch implementation of GLAMpoints

Official implementation of the paper GLU-Net (CVPR2020-Oral)

5th place solution for: RSNA Intracranial Hemorrhage Detection

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Machine Learning algorithm implementations from scratch.

SmartDashboard - Your latest news in one place

PyTorch extensions for fast R&D prototyping and Kaggle farming

Firefox extension that categorize news article according to their humor, by sentiment analysis.

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

Simple C++ setup with CMake and CTest.

📷 An Instagram clone using Microsoft Azure for tags generation and GraphQL for the API