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2018-kuaishou-tsinghua-top13-solutions

2018**高校计算机大赛--大数据挑战赛 Top 13-Solutions

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

benchmarks

Use TensorFlow efficiently

bert

TensorFlow code and pre-trained models for BERT

cdcs

Chinese Data Competitions' Solutions

chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cnn_rnn_gan_notebook

Learn from imooc course, code by myself.

collageprompt

CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V

cousera_deeplearning-master

datagame

Some data contest open source solutions.TianChi、DataCastle。

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

di-2-fgsm

Improving Transferability of Adversarial Examples with Input Diversity

dockerfile

Used for docker image

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

ensemble-adv-training

Ensemble Adversarial Training on MNIST

espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

guided-denoise

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

icjai-19

imagenet-adversarial-training

Feature Denoising for Improving Adversarial Robustness

insert_aisdata

ios_playground

mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch