Kerr's repositories
AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
awesome-python-webapp
小白的Python入门教程实战篇:网站+iOS App源码→ http://t.cn/zQXcs9S 赞助→ http://t.cn/R5bhVpf
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
awesome_python_app
对廖雪峰网站代码的实现
bert
TensorFlow code and pre-trained models for BERT
dash
Analytical Apps for Python. Dash Is Productive™
dash.js
A reference client implementation for the playback of MPEG DASH via Javascript and compliant browsers.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deeplearningbook-chinese
Deep Learning Book Chinese Translation
Historical-ranking-data-visualization-based-on-d3.js
这是一个数据可视化项目,能够将历史数据排名转化为动态柱状图图表
kaggle
Kaggle 项目实战(教程) = 文档 + 代码 + 视频(欢迎参与)
mahimahi
Web performance measurement toolkit
ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
OI-wiki
:star2: Wiki for OI / ICPC. (某大型游戏线上攻略,内含炫酷算术魔法)
pensieve
Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)
Project-Based-Tutorials-in-C
A curated list of project-based tutorials in C
Python
All Algorithms implemented in Python
python3-cookbook
《Python Cookbook》 3rd Edition Translation
python_interview_question
关于python的面试题
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
super-resolution
collection of super-resolution models & algorithms
tensorpack
A Neural Net Training Interface on TensorFlow
test1
https://github.com/AtsushiSakai/PythonRobotics.git