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awesome-aiops

A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).

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.

coding-interview-university

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

covtesting

DNN Coverage Based Testing Study

deeplearning.ai

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

deepperf

DeepPerf is an end-to-end deep learning based solution that can train a software performance prediction model from a limited number of samples and predict the performance value of a new configuration.

deeptest

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

deepxplore

DeepXplore code release

go-common

哔哩哔哩 bilibili 网站后台工程 源码

google-search-api

Python based api for searching google web, images, calc, and currency conversion.

intro-html

A robot powered training repository :robot:

leetcode

LeetCode Problems' Solutions

lid_adversarial_subspace_detection

Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".

machine-learning-with-python

此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现

ml_work

Machining Learning homework,autumn semester, 2016

models

Models and examples built with TensorFlow

python

All Algorithms implemented in Python

sadl

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

se_for_ai

seadroid

Android client for Seafile

socialapp

软件工程化开发课程实践项目

statistical-learning-methods-lihang

个人关于李航《统计学习方法》的一些肤浅解释和学习，以及numpy和sklearn编程实现

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

textgan-pytorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.