snowhou's repositories
30-Days-Of-Python
A 30 days of python programming challenge
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
BMW-YOLOv3-Training-Automation
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.
colab-tricks
Tricks for Colab power users
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
dockerlabs
Docker - Beginners | Intermediate | Advanced
drawio
Source to www.draw.io
Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
EmojiPackage
A rich emoji package resources
FCOS_PLUS
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
keras-YOLOv3-model-set
An end-to-end YOLOv3/v2 object detection pipeline, implemented on tf.keras with different technologies
learnopencv
Learn OpenCV : C++ and Python Examples
Master-Research-Tools-Collection
Record some tools commonly used in research, My blog address:
model-compression
model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for binary value of feature(A))
PaperOutline
通用论文大纲
Production-Level-Deep-Learning
This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.
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
Safety-Helmet-Wearing-Dataset
Safety helmet wearing detect dataset, with pretrained model
second.pytorch
SECOND for KITTI/NuScenes object detection
simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
Single-Underwater-Image-Enhancement-and-Color-Restoration
Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging"
TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
TreeFilter-Torch
Learnable Tree Filter for Structure-preserving Feature Transform
yolact
A simple, fully convolutional model for real-time instance segmentation.
YOLOv3-complete-pruning
提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。