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agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

ariac-docker

Containerization of ARIAC competition server and competitors' code. See https://bitbucket.org/osrf/ariac/wiki/Home

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

compositeactionextractor

A method of extracting action segments / composite actions by calculating either the entropy, distance, or divergence in probability distributions over state and action spaces, then correlating spikes in those measurements in the action spaces with the spikes in the measurements in the state space.

continentalpredictiveanalytics

Hi, this is the start to the HR predictive analytics project

course-v3

The 3rd edition of course.fast.ai

custom-vision-service-iot-edge-raspberry-pi

Sample showing how to deploy a AI model from the Custom Vision service to a Raspberry Pi 3 device using Azure IoT Edge

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

data

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep_learning

Deep Learning for Computer Vision

dl-workshop

Materials for Deep Learning Workshop

education_database_manager

entropy_estimators

Estimators for the entropy and other information theoretic quantities of continuous distributions

fast-reinforcement-learning

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

fastai

The fastai deep learning library

fastai2

Temporary home for fastai v2 while it's being developed

fastaiworkshop

Workshop for fast.ai February 2/23/2020

fastcore

Python supercharged for the fastai library

fastdot

A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges

fastrl

fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.

fcneuralnet

A simple Neural Net developed in C++ which can be used for image classification.

fetch_ros

Open ROS Components for Robots from Fetch Robotics

focus

ghissue2docs

The package converts github issues into mds/jyputer notebooks. Using nbdev, you can generate issue documentation: https://josiahls.github.io/ghissue2docs/

google-hashcode-2019-video-challenge