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automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

blog

deeptest

A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles

image-clustering

K-Means Clustering Implementation on CIFAR-10/CIFAR-100/MNIST Datasets

look

造的轮子，熟悉练习Android用。

love

My love story with MaryNee

mountaincar

Mountaincar problem solver using DQN

munit

Multimodal Unsupervised Image-to-Image Translation

munit-keras

A keras (tensorflow) reimplementation of MUNIT: Multimodal Unsupervised Image-to-Image Translation https://arxiv.org/abs/1804.04732

one-pixel-attack-keras

Keras reimplementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

project

课堂作业

pythonsift

A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)

smoothing

Provable adversarial robustness at ImageNet scale

smoothing-adversarial

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

stn-code

Code for Stability Training with Noise (STN)

sushirank

Educational implementation of pointwise and pairwise learning-to-rank models

tensorflow-101

TensorFlow 101: Introduction to Deep Learning for Python

ustc-cs-courses-resource

:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)