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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
《Python Cookbook》 3rd Edition Translation
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Visualizations for machine learning datasets
COCO API - Dataset @ http://cocodataset.org/
Simple tutorials using Google's TensorFlow Framework
Efficient Image Captioning code in Torch, runs on GPU
Data Science Using Python
Repo for the Deep Reinforcement Learning Nanodegree program
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Content for Udacity's Machine Learning curriculum
Fast and flexible AutoML with learning guarantees.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
IPython Parallel: Interactive Parallel Computing in Python
Feature selector is a tool for dimensionality reduction of machine learning datasets
Demo of running NNs across different frameworks
Dense image captioning in Torch
Open-source implementation of Google Vizier for hyper parameters tuning
Tensorflow实战学习笔记、代码、机器学习进阶系列
TensorFlow Implementation of "Show, Attend and Tell"
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
Inference Code for Polygon-RNN++ (CVPR 2018)