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ai-practice-tensorflow-notes

人工智能实践：Tensorflow笔记

awesome-deep-vision-web-demo

A curated list of awesome deep vision web demo

awesome-pytorch-list

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

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

competition-baseline

数据科学竞赛各种baseline代码、思路分享

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-training-gui

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

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[email protected] 版权所有，违权必究 Tan 2018.06

epidemictextmatch

天池大赛疫情文本挑战赛线上第三名方案分享

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

generative-adversarial-networks-projects

Generative Adversarial Networks Projects, published by Packt

gitskills

huawei-garbage

2019 Huawei Cloud garbage Classification Competition online score 2th place

imageqt

数字图像处理——基于Qt 5.8.0

kaggle-cloud

learngit

mindmaptree

use for mindmaptree demo

python

All Algorithms implemented in Python

pytorch-networks

Pytorch implementation of cnn network

pytorch-template

PyTorch deep learning projects made easy.

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

sense_classification

rscup: 遥感图像场景分类

statistic

collecting books, papers and docs.

tensorflow-tutorials-chinese

TensorFlow 中文教程 (Chinese Tutorials)

tfvaegan

Official repository with Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification" (ECCV 2020)