guhandi

models

Models and examples built with TensorFlow

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

AlphaPose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

TensorFlowSharp

TensorFlow API for .NET languages

awesome-robotics-libraries

:sunglasses: A curated list of robotics libraries and software

EEG-Datasets

A list of all public EEG-datasets

NeuroKit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

ros-sharp

ROS# is a set of open source software libraries and tools in C# for communicating with ROS from .NET applications, in particular Unity3D

tsfel

An intuitive library to extract features from time series.

osim-rl

Reinforcement learning environments with musculoskeletal models

Tracking-with-darkflow

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

DeepGamingAI_FIFA

A deep learning based AI bot for playing the football simulation game FIFA 18 (Windows platform)

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

visbrain

A multi-purpose GPU-accelerated open-source suite for brain data visualization

2018-CS109A

Repository for CS109A Fall 2018

Football-Player-Tracking

Soccer player tracking system

obstacle-tower-challenge

Starter Kit for the Unity Obstacle Tower challenge

agi

Research code & algorithms for artificial general intelligence.

Machine-Learning-101

Basics and findings of a range of different machine learning techniques. This includes Deep Learning, Computer Vision, Artificial Intelligence and Natural Language Processing (NLP).

ACE

Tools for automatic extraction of activation coordinates from published neuroimaging articles.

neuro-knowledge-engine

Codebase for "A data-driven framework for mapping domains of human neurobiology"

Reinforcement-Learning-NanoDegree

Using Deep Reinforcement Learning Project Repository

notebooks

ipython/jupyter notebooks

FirstWaveCubanHumanNormativeEEGProject

VIGALL

An AddIn for BrainVision Analyzer 2 that automates EEG vigilance analysis

ds000246