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algorithmictrading

automatic trading in OANDA Trade platform

autolabelling-and-feature-extraction

Labelling data can be tedious and time-consuming. This is especially the case when you have large amounts of data. For data that contains a definite beginning and end, such as pausing between actions, this can be done automatically.

awesome-robotics

A list of awesome Robotics resources

bmc

Notes on Scientific Computing for Biomechanics and Motor Control

datacrawl

An example on crawling brickset.com

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

deeptemporalclustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

flow19_mlschool

Code for the hands-on sessions of the 2019 FLOW School on Machine Learning

gait-controller

This project is to use online learning algorithm to predict ground reaction force with kinematic data.

gait-recognition-dcnn

gait recognition using a deep convolutional neural network

gait_phase_and_trajectory_prediction

This project is to predict multi-step gait phases and gait trajectory

imudatastream

This is to build a server with C sharp and a clinet in python. They are then to communicate with each other. So the data can be streamed to a computer for further analysis.

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

opensim-core

SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.

osim_2d

rtosim

The real-time OpenSim extension (RTOSIM) is a set of libraries in C++ that wrap OpenSim APIs to enable the real-time computation of inverse kinematics and inverse dynamics.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stock-trading-environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python

usefulwebmachinelearning

This is to mark useful resources for machine learning.