crisbodnar

TensorFlow-NEAT

TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT

text-to-image

Text to Image Synthesis using Generative Adversarial Networks

ndp

Official code for the ICLR 2021 paper Neural ODE Processes

dgm

Deep Graph Mapper: Seeing Graphs through the Neural Lens

pderl

Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020

regularised-spectral-clustering

Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance

KalahAI

An AI agent for the board game Kalah (Mancala)

Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory

cwn

Message Passing on Simplicial and Cell Complexes

smartlight

Software for SODAQ ExpLoRer controlling a LoRaWAN based light bulb

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

awesome-deep-neuroevolution

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

crisbodnar.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

DGN

Implementation of Directional Graph Networks in PyTorch and DGL

erl_paper_nips18

Code accompanying the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" accepted at NIPS 2018

go-mock-test

A comparison of pegomock and gomock

grpc-web

gRPC Web implementation for Golang and TypeScript

HDGan

Pytorch implementation of HDGan

java-grpc

OpenTracing Instrumentation for gRPC

location-train-mapper

An API which maps a geolocation to a national UK train. Built at HackTrain 2017

neural-sheaf-diffusion

opentracing-java

OpenTracing API for Java

pytorch-topological

A topological machine learning framework based on PyTorch

redux-thunk

Thunk middleware for Redux

StackGAN

tensorflow-tutorial

Tutorial for Large Scale Data Processing and Optimisation

tutorials

universe-starter-agent

A starter agent that can solve a number of universe environments.

VAE-Tensorflow

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at University of Southern California (USC) in the Fall 2017 Semester.