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30-days-of-python

For the next 30 days, learn the Python Programming language.

bitcoinwifi

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

classification-cat-vs-dog-deep-learning

coursera

Quiz & Assignment of Coursera

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.

deep-learning---vehicle-classification

This is a POC to run Deep Learning techniques for images (vehicles) classification in a local computer with limited data

django

The Web framework for perfectionists with deadlines.

docker-node

Official Docker Image for Node.js :whale: :turtle: :rocket:

edx-platform

The Open edX platform, the software that powers edX!

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

flask-pastebin

Example pastebin with websockets, sqlalchemy, facebook connect and a bunch of other buzzwords

flask-web-development

Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

flaskcodeforsaylani

focuson

A tool to surface security issues in python code

free-deep-learning-books

A curated collection of free Deep Learning related eBooks

git-crash-course

Crash course project for learning version control with Git

hotelapp.ai

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

k-means-clustering-in-python-with-scikit-learn

In Machine Learning, the types of Learning can broadly be classified into three types: 1. Supervised Learning, 2. Unsupervised Learning and 3. Semi-supervised Learning. Algorithms belonging to the family of Unsupervised Learning have no variable to predict tied to the data. Instead of having an output, the data only has an input which would be multiple variables that describe the data. This is where clustering comes in.

keras

kubeflow

Machine Learning Toolkit for Kubernetes

labs

Rmd source files for the HarvardX series PH525x

learn-tensorflow-keras

list_of_recommender_systems

A List of Recommender Systems and Resources

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mnist

The MNIST database of handwritten digits, available publicly, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.

moby

Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

nlp_course

YSDA course in Natural Language Processing

numpy_exercises

Numpy exercises.