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amalgamation

This is the Amalgamation module of the coinvent architecture

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

deep-rl-docker

Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.

fhw2019ds

gym

A toolkit for developing and comparing reinforcement learning algorithms.

lang-evo

lstm-tf

LSTM experiments with tensorflow

models

Models and examples built with TensorFlow

pydeeplearn

python

Day-wise Python Learning resources from basic concepts to advanced Python applications such as data science and Machine learning. It also includes cheat-sheets, references which are logged daily to accelerate your learning.

python_and_machinelearning

ros-ort

ros_catkin_ecg_ws

The ROS workspace to run ECG workbench demos

ros_cqi

High-level Command and Query interface for communication with robots.

ros_ecgworkbench

The ECG workbench package for ROS

salt-core

Looking at big data? Add a little salt.

salt-examples

Example projects using Uncharted Salt

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

scilab-rl

Supercharge Research in Cognitive Modeling and with Learning-based Agents

semslam

A repository to infuse lsd_slam with object detection

simple-lang-evo

tacotron

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model

tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)