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jersey-backbone-example

An example built by jersey and Backbone.js

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras

Deep Learning for humans

keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

learngit

Learn Git, As a test

m19404

My Work

ml

经典机器学习算法的极简实现

msr

Calculates the multiscale relevance of neurons

multistepnns

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

nupic

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

opencv-python

This repository generates precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

papers-we-love

Papers from the computer science community to read and discuss.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

🤖 Implements of Reinforcement Learning algorithms.

reinforcement-learning-2

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-3

Uses OpenAI Gym with Q-Learning, Value iteration, REINFORCE Policy Gradient with Continuous State Space and Continuous Action Space

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

rl-starter-files

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

rlcomp

robotic-motion-planning-a-star-rrt-and-rrt-star-search

Hello

spatial_patterns

The code for the simulations in Simon N Weber & Henning Sprekeler: 'Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity'. eLife 2018.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tdfmaze

Tour De Flags Maze solved by deep reinforcement learning technique (Q-learning)

tdlearn

some common TD Learning algorithms

temporal_abstraction

Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space.

unreal

Reinforcement learning with unsupervised auxiliary tasks