Stars
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM.
【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
repo - The multiple repository tool (also works on MS Windows!)
nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for do…
FlatBuffers: Memory Efficient Serialization Library
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
pprof is a tool for visualization and analysis of profiling data
A CMake toolchain file for iOS/iPadOS, visionOS, macOS, watchOS & tvOS C/C++/Obj-C++ development
A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt
The state-of-the-art image restoration model without nonlinear activation functions.
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
Benchmark inference speed of CNNs with various quantization methods in Pytorch+TensorRT with Jetson Nano/Xavier
A collection of pre-trained, state-of-the-art models in the ONNX format
(ECCV2022) This is the official PyTorch implementation of ECCV2022 paper: Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
A tutorial for getting started with the Deep Learning Accelerator (DLA) on NVIDIA Jetson
Simple samples for TensorRT programming
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement