science4fun

BDA_py_demos

Bayesian Data Analysis demos for Python

pymc

PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)

trfl

TensorFlow Reinforcement Learning

hydejack

"Best Jekyll Theme by a Mile"

reinvent-gdb13

A Recurrent Neural Network implementation that uses SMILES strings to generate molecules from GDB-13

pepconf

Benchmark and reference set for conformational energies in peptides

alembic

⚗️ A Jekyll boilerplate theme designed to be a starting point for any Jekyll website

xtensor

C++ tensors with broadcasting and lazy computing

decagon

Graph convolutional neural network for multirelational link prediction

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

ggnn

Gated Graph Sequence Neural Networks

100-Days-Of-ML-Code

100 Days of ML Coding

DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

sinkhorn-policy-gradient.pytorch

Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"

KDD18-Gluon

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

LGCN

Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18

GPy

Gaussian processes framework in python

go

The Open Source Data Science Masters

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

learn_math_fast

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

acl2018_graph2seq

Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"

Reinforcement-Learning-Notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

tsne

A python wrapper for Barnes-Hut tsne

cookiecutter

A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

simplystats

Simply Statistics

ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

ML_Assignment

courses

fast.ai Courses