DC-Zhou

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

simdjson

Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

CV-CUDA

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

jetson_stats

📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

CUDALibrarySamples

CUDA Library Samples

CUDA-Learn-Notes

🎉 Modern CUDA Learn Notes with PyTorch: fp32/tf32, fp16/bf16, fp8/int8, flash_attn, rope, sgemm, sgemv, warp/block reduce, dot, elementwise, softmax, layernorm, rmsnorm.

Tracking-Anything-with-DEVA

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

MatX

An efficient C++17 GPU numerical computing library with Python-like syntax

stable-fast

Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.

Learn-CUDA-Programming

Learn CUDA Programming, published by Packt

trt_pose

Real-time pose estimation accelerated with NVIDIA TensorRT

Image-Denoising-State-of-the-art

rwkv-cpp-accelerated

A torchless, c++ rwkv implementation using 8bit quantization, written in cuda/hip/vulkan for maximum compatibility and minimum dependencies

ruapu

Detect CPU features with single-file

jetson_dla_tutorial

A tutorial for getting started with the Deep Learning Accelerator (DLA) on NVIDIA Jetson

ncnn-models

awesome AI models with NCNN, and how they were converted ✨✨✨

Parallel-Computing-Cuda-C

CUDA Learning guide

RWKV-CUDA

The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )

cuDLA-samples

YOLOv5 on Orin DLA

Deep-Learning-Accelerator-SW

NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.

faster-rwkv

YOLOX

MegEngine implementation of YOLOX

Optimizing-DGEMM-on-Intel-CPUs-with-AVX512F

Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.

CodeFormer-ncnn

ncnn version of CodeFormer

llama2.c-to-ncnn

A converter for llama2.c legacy models to ncnn models.

cute-gemm

arm64-linux-debugging-disassembling-reversing

Source Code for 'Foundations of ARM64 Linux Debugging, Disassembling, and Reversing' by Dmitry Vostokov