Cheems1989

Cheems1989's Stars

• JerryMazeyu/skinCancer

  分类、回归与多任务可复用的可定制的模版框架

  Language:Python3

• eliaszon/Programmers-Overseas-Job-Interview-Handbook

  🏂🏻 程序员海外工作/英文面试手册

  4.5k326

• donkuri/Kaishi

  Kaishi 1.5k is a modern, modular Japanese Anki deck made for beginners who want to learn basic vocabulary.

  59311

• lizongying/my-tv

  我的电视 电视直播软件，安装即可使用

  Language:C31.3k3.5k

• chokcoco/iCSS

  不止于 CSS

  Language:CSS19.9k2k

• ahmetbersoz/chatgpt-prompts-for-academic-writing

  This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

  3.5k309

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.7k1.9k

• tgbot-collection/YYeTsBot

  🎬 人人影视 机器人和网站，包含人人影视全部资源以及众多网友的网盘分享

  Language:Python14.9k1.8k

• lessw2020/Ranger-Deep-Learning-Optimizer

  Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

  Language:Python1.2k177

• BBuf/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))

  Language:Python17031

• kamenbliznashki/chexpert

  CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet

  Language:Jupyter Notebook5321

• whisperLiang/Efficientnet_pytorch_cbam_gui

  Language:Python347

• cen6667/Pruning_filters_for_efficient_convnets

  PyTorch implementation of "Pruning Filters For Efficient ConvNets"

  Language:Jupyter Notebook161

• wanglouis49/pytorch-weights_pruning

  PyTorch Implementation of Weights Pruning

  Language:Python18535

• tyui592/Pruning_filters_for_efficient_convnets

  PyTorch implementation of "Pruning Filters For Efficient ConvNets"

  Language:Jupyter Notebook14927

• russellgeum/Neural-Network-Pruning-Tutorial

  Tutorial impelmentation of Neural Network Pruning for VGG

  Language:Python31

• manishravula/pruning-vgg16

  Language:Python1

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k478

• pprp/SimpleCVPaperReading

  :smile:博客论文列表：分系列整理

  Language:JavaScript39051

• Sudhandar/EfficientNet-Attention-in-a-Siamese-Network

  Siamese neural network based Covid-19 Pneumonia classification using EfficientNet with attention mechanism

  Language:Jupyter Notebook82

• bobo0810/PytorchNetHub

  项目注释+论文复现+算法竞赛+Pytorch实践

  Language:Jupyter Notebook653156

• bobo0810/Classification

  视觉训练框架(简单 / 模块化 / 高扩展 / 分布式 / 自动剪枝)

  Language:Python305

• raplima/petrog_thin_section_cnn

  Python scripts used to perform petrographyc thin section analysis using convolutional neural networks

  Language:Python31

• raplima/transfer_learning_wgui

  Language:Python1

• mmmahhhhe/MaSeResNeXt

  the paper of MaSeResNeXt

  Language:Python62

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.9k4.8k

• ZJCV/ZCls

  Object Classification Training Framework

  Language:Python14123

• ZjjConan/SimAM

  The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".

  Language:Python41836

• Philliec459/Create-Thin-Section-Image-Labels-for-Semantic-Segmentation-Training

  This is an example of creating labeled images to be used in Keras image-segmentation training

  Language:Python93

• Philliec459/Semantic-Segmentation-of-Petrographic-Thin-Sections-using-Keras

  This repository was inspired from Divam Gupta's GitHub repository on Image Segmentation Keras

  Language:Python207