excllent123's Stars
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
dpilger26/NumCpp
C++ implementation of the Python Numpy library
JDAI-CV/fast-reid
SOTA Re-identification Methods and Toolbox
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
Kaggle/docker-python
Kaggle Python docker image
yse/easy_profiler
Lightweight profiler library for c++
huanghoujing/person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
aff3ct/MIPP
MIPP is a portable wrapper for SIMD instructions written in C++11. It supports NEON, SSE, AVX, AVX-512 and SVE (length specific).
achaiah/pywick
High-level batteries-included neural network training library for Pytorch
Charrin/RetinaFace-Cpp
RetinaFace detector with C++
ybabakhin/kaggle_salt_bes_phalanx
Winning solution for the Kaggle TGS Salt Identification Challenge.
Tramac/Lightweight-Segmentation
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
justusschock/shapenet
PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
mushfiqulalam/isp
camera pipeline
toodef/neural-pipeline
Neural networks training pipeline based on PyTorch
radekosmulski/whale
DIPlib/diplib
Quantitative Image Analysis in C++, MATLAB and Python
PavelOstyakov/pipeline
hyperconnect/MMNet
Code for Towards Real-Time Automatic Portrait Matting on Mobile Devices
JalaliLabUCLA/Jalali-Lab-Implementation-of-RAISR
Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has been tested on GNU/Linux and Mac OS X 10.13.2 platforms.
GreatAttractor/imppg
ImPPG (Image Post-Processor)
mr3coi/screen_photo_simulator
Python implementation for simulating moire effects seen in photos of digital device screens
daisukelab/protonet-fine-grained-clf
(Using) Prototypical Networks as a Fine Grained Classifier
feibin95/kaggle_human_protein
28th place solution in Kaggle HPA classification
tiancheng-zhi/cs-stereo
Deep Material-aware Cross-spectral Stereo Matching (CVPR 2018)
shawnau/kaggle-HPA
Kaggle Human Protein Atlas Image Classification 73th solution
sidneycadot/WindowFunctions
A repository of code to generate window functions as used in signal processing.
musket-ml/classification_training_pipeline
Puny attempt to build reusable training pipeline for image classification
excllent123/My_Kaggle_Solution