galoiszhang's starred repositories

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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DM-Python-MOOC

此项目提供在**大学慕课《数据挖掘与python实践》在线课程的代码及相关资料。课程链接如下:https://www.icourse163.org/course/CUFE-1207262801

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paper-reading

深度学习经典、新论文逐段精读

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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

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SPG

(ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization

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Divide-and-Co-training

[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

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simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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curriculum-dropout-pytorch

curriculum dropout implementation with pytorch

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CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

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augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

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awesome-data-augmentation

This is a list of awesome methods about data augmentation.

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Vehicle_Collision_Prediction_Using_CNN-LSTMs

Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.

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SCARLET-NAS

Bridging the gap Between Stability and Scalability in Neural Architecture Search

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slimmable_networks

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

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awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

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Awesome-AutoDL

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

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awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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awesome-architecture-search

A curated list of awesome architecture search resources

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Deep-Learning-with-TensorFlow-book

深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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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》)

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efficientnet-tf2

A reusable implementation of EfficientNet in TensorFlow 2.0 and Keras

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cutout-random-erasing

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

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efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

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