xmczh003

xmczh003's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k7.6k39.7k74.2k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k2.7k7.3k45.8k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k2.3k18815.8k

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k1.1k9.6k6.8k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.3k567162.8k

• chenyuntc/pytorch-book

  PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

  Language:Jupyter Notebook12k2812183.7k

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k2151811.8k

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1141061.5k

• wszqkzqk/deepin-wine-ubuntu

  Deepin Wine for Ubuntu/Debian

  Language:C6k141349870

• extreme-assistant/ICCV2023-Paper-Code-Interpretation

  ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

  2.3k64121.4k

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k2338373

• chinakook/Awesome-MXNet

  A curated list of MXNet examples, tutorials and blogs.

  837762191

• Joker316701882/Additive-Margin-Softmax

  This is the implementation of paper <Additive Margin Softmax for Face Verification>

  Language:Jupyter Notebook4922635149

• cvqluu/Angular-Penalty-Softmax-Losses-Pytorch

  Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

  Language:Python481111892

• yangze0930/NTS-Net

  This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

  Language:Python4501153118

• songdejia/DFL-CNN

  This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

  Language:Python26641752

• kaiyuyue/cgnl-network.pytorch

  Compact Generalized Non-local Network (NIPS 2018)

  Language:Python26071441

• richardaecn/cvpr18-inaturalist-transfer

  Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

  Language:Jupyter Notebook1959835

• recasens/Saliency-Sampler

  The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task.

  Language:Python1643623

• xiaomengyc/ACoL

  (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization

  Language:Python16462030

• Yao-DD/S3N

  Language:Python8621326

• Heliang-Zheng/TASN

  Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition"

  53722

• distillpub/post--activation-atlas

  Using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned which can reveal how the network typically represents some concepts.

  Language:JavaScript4381910

• gan3sh500/kervolution-pytorch

  Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.03955.pdf)

  Language:Jupyter Notebook412616

• CyberZHG/tf-keras-kervolution-2d

  Kervolutional neural networks

  Language:Python165

• xmczh003/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  1100

• xmczh003/Machine-Learning-Study-Path-March-2019

  A complete ML study path, focused on TensorFlow and Scikit-Learn

  1100

• xmczh003/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python1100

• xmczh003/the-craft-of-selfteaching

  One has no future if one couldn't teach themself.

  Language:Jupyter Notebook1100