josiahls's repositories
fast-reinforcement-learning
Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme
spinningup
An educational resource to help anyone learn deep reinforcement learning.
agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
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.
play_it_later
https://josiahls.github.io/play_it_later/
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
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.
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
dl-workshop
Materials for Deep Learning Workshop
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
fastdot
A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges
ghissue2docs
The package converts github issues into mds/jyputer notebooks. Using nbdev, you can generate issue documentation: https://josiahls.github.io/ghissue2docs/
josiahls.github.io
My very own mind dump
nbdev_template
Template for nbdev projects
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
PyTorchTensorflowForecastML
A master repo for different deep learning forecasting / sequence predicting models.
PyTorchTensorflowImageML
Demonstrates simple model training and testing using 2 popular machine learning frameworks.
RoboGrammar
RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design (SIGGRAPH Asia 2020)
visual_analytics
Simple Analysis of security related issues.