iMonkey's repositories
Org_General
working on it
scikit-learn-doc-zh
scikit-learn（sklearn） 官方文档中文版
Paddle
PArallel Distributed Deep LEarning
pyecharts
✨ Python Echarts Plotting Library
FYP-Project-Coalition-Game
This is undergraduate's Final Year Project
machine-learning
从零基础开始机器学习之旅
School-Projects
Cloud Computing
Data-Structure-and-Algorithms
Implementations of programmers interview guide by Chengyun Zuo
huxpro.github.io
My Blog / Jekyll Themes / PWA
huxblog-boilerplate
Boilerplate of Hux Blog
awesome-python-cn
Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。
kaggle-survey
My analysis of the results of Kaggle's data science survey – Winner of a Kaggle Kernels Award
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Keras-GAN
Keras implementations of Generative Adversarial Networks.
ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
orange2
DEPRECATED: Orange 2 (Python 2) data mining suite. NEW: https://github.com/biolab/orange3
tutorials
机器学习相关教程
LeetCode-OJ
Everyday exercises of LeetCode Challenges
Delving-deep-into-GANs
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
SSGAN-Tensorflow
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.
Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
Generative-Adversarial-Network-Tutorial
Tutorial on creating your own GAN in Tensorflow