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simple_dqn

Simple deep Q-learning agent.

skmca

A scikit-learn compatible implementation of MCA

snns

Tutorials and implementations for "Self-normalizing networks"

som-toolbox

sompy

A Python Library for Self Organizing Map (SOM)

sonnet

TensorFlow-based neural network library

spark_scala_ml_examples

Spark 2.0 Scala Machine Learning examples

stacker

Python Library for Stacking Predictors in Python. Machine Learning. Kaggle

statenet

Towards Universal Dialogue State Tracking

statistical-rethinking-with-python-and-pymc3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

striatum

Contextual bandit in python

surprise

A Python scikit for building and analyzing recommender systems

taller-aeropython-pycones16

The Aeropython’s guide to the Python Galaxy! This workshop will be the perfect introduction to the powerful tools and packages that Python can offer to the Python Scientist.

taller-algoritmos-geneticos-pycones16

Taller de la PyConEs 2016: Simplifica tu vida con sistemas complejos y algoritmos genéticos

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-101

TensorFlow Tutorials

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-lstm-regression

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

tensormodels

A python package for Tensorflow. It has the right level of abstraction needed to built state-of-the-art deep learning models. Tensormodels also provides queues for data prefetching, so you don't have to use Tensorflow data queues and you can write custom data augmentation functions. It also allows training on multi-gpus without any change in code.

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

test-repo

test-repo

testing-repository

branching and merging

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tf-tutorials

A collection of deep learning tutorials using Tensorflow and Python

tgjeon.github.io

time-series-forecasting-cnn

Using a convolutional neural net for time series forecasting

timeseriesanalysiswithpython

Time Series Analysis with Python