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adlxmlds2017

Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU

appliedml_python_coursera

Material and note of the course of Applied ML in Python

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

berkeleyx-cs100.1x-big-data-with-apache-spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

big-data-ml

This is repository, which contains the "Machine Learning Applications of Big Data" supplementary materials on Coursera

c5_sequence_models

cn-deep-learning

https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

cs224n-learning-camp

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231n-camp

cs231n training camp

dat210x

Programming with Python for Data Science Microsoft

data

Data and code behind the stories and interactives at FiveThirtyEight

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

hands-on-natural-language-processing-with-python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

harvardx-ph526x

Solutions to Homework Exercises for Harvardx: PH526x Using Python for Research, EdX, Nov-Dec 2016

interviews

Everything you need to know to get the job.

intro-to-dl

Resources for "Introduction to Deep Learning" course.

intro-to-pytest

An introduction to PyTest with lots of simple, hackable examples

introduction-to-data-science-in-python

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

learngit

leetcode_python

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-nd

Udacity's Machine Learning Nanodegree project files and notes.

ml-in-action-code-and-note

:chart_with_upwards_trend:Machine Learning code in Python3.x. Some notes about the practices please click here:（personal notes, for reference only）

mlnd_data_analysis

Udacity机器学习纳米学位中数据分析课程代码

models

Models and examples built with TensorFlow