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adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

awesome-face

😎 face releated algorithm, dataset and paper

awesome-spider

爬虫集合

babel

linux, git, research and so on

bachelor_graduation_project

bachelor_graduation_project

basicsr

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

bike-sharing

cdp

Code for our ECCV 2018 work.

coding-interview-university

A complete computer science study plan to become a software engineer.

cornernet

customer_segments

deep_learning_notes

display_platform

a website base flask about show project

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dl_mini_project

dog-vs-cat

face_dar

About face detection and face alignment and face recognition

homework

Assignments for CS294-112.

learning_note

Learning Note about Python, Machine Learning, Deep Learning, Reinforcement learning

mini_project

mnist_demo

model_save_restore_freeze

models

Models built with TensorFlow

my-source

nlp

nature language process

paper_reading

paper reading note

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

seq2seq-attention-model

An implementation for attention model in Keras for sequence to sequence model.