Stars
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
cuVS - a library for vector search and clustering on the GPU
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorR…
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 …
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
TSDG: An efficient index graph for graph-based nearest neighbor search
Source code of CIKM 2021 paper: Fast k-NN Graph Construction by GPU based NN-Descent.
monyhar / monyhar
Forked from chromium/chromium梦弘浏览器 - 完全自主研发,打破国外垄断,比 Chrome 快 600%。
SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Benchmark of Nearest Neighbor Search on High Dimensional Data
An open-source C++ library developed and used at Facebook.
Navigating Spreading-out Graph For Approximate Nearest Neighbor Search
Header-only C++/python library for fast approximate nearest neighbors
Solutions to Exercises in C++ Primer 5th Edition
A library for efficient similarity search and clustering of dense vectors.
Google 开源项目风格指南 (中文版)
Facial Landmark Detection and head pose compute use dlib, Real time Face Reconstruction use 3D Morphable Face Model fitting
Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:jack-yu-business@foxmail.com