Pinned Repositories
animal-matting
Github repository for the paper End-to-end Animal Image Matting
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-hpp
A curated list of awesome header-only C++ libraries
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
BEVDepth
Official code for BEVDepth.
bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
clip.cpp
CLIP model deploy in plain C/C++ using ggml machine learning library
Low-light-Image-Enhancement
Low-light-Image-Enhancement
yolov10-ncnn
yysu-888's Repositories
yysu-888/clip.cpp
CLIP model deploy in plain C/C++ using ggml machine learning library
yysu-888/yolov10-ncnn
yysu-888/Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
yysu-888/Low-light-Image-Enhancement
Low-light-Image-Enhancement
yysu-888/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
yysu-888/awesome-hpp
A curated list of awesome header-only C++ libraries
yysu-888/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
yysu-888/BEVDepth
Official code for BEVDepth.
yysu-888/bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
yysu-888/cppregpattern
C++ Registry Pattern
yysu-888/cupy
NumPy & SciPy for GPU
yysu-888/DeepFillv2_Pytorch
yysu-888/License-Plate-Detector
基于Retinaface车牌检测,全新模型仅1.8MB.
yysu-888/matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
yysu-888/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
yysu-888/PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
yysu-888/picodet_repro
yysu-888/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
yysu-888/RobustVideoMatting
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
yysu-888/shufflev2-yolov5
shufflev2-yolov5：lighter, faster and easier to deploy
yysu-888/Simd
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM.
yysu-888/Skip-Conv
yysu-888/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
yysu-888/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
yysu-888/Torch-Pruning
Pruning channels for model acceleration
yysu-888/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
yysu-888/xsimd
C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)
yysu-888/xtensor
C++ tensors with broadcasting and lazy computing
yysu-888/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
yysu-888/YOLOX
YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, NCNN, and Openvino supported.