Pinned Repositories
sonode
Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
dgm
Deep Graph Mapper: Seeing Graphs through the Neural Lens
KalahAI
An AI agent for the board game Kalah (Mancala)
ndp
Official code for the ICLR 2021 paper Neural ODE Processes
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
TensorFlow-NEAT
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
text-to-image
Text to Image Synthesis using Generative Adversarial Networks
cwn
Message Passing Neural Networks for Simplicial and Cell Complexes
neural-sheaf-diffusion
crisbodnar's Repositories
crisbodnar/TensorFlow-NEAT
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
crisbodnar/text-to-image
Text to Image Synthesis using Generative Adversarial Networks
crisbodnar/ndp
Official code for the ICLR 2021 paper Neural ODE Processes
crisbodnar/dgm
Deep Graph Mapper: Seeing Graphs through the Neural Lens
crisbodnar/pderl
Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020
crisbodnar/regularised-spectral-clustering
Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance
crisbodnar/KalahAI
An AI agent for the board game Kalah (Mancala)
crisbodnar/Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
crisbodnar/cwn
Message Passing on Simplicial and Cell Complexes
crisbodnar/smartlight
Software for SODAQ ExpLoRer controlling a LoRaWAN based light bulb
crisbodnar/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
crisbodnar/awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
crisbodnar/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
crisbodnar/crisbodnar.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
crisbodnar/DGN
Implementation of Directional Graph Networks in PyTorch and DGL
crisbodnar/erl_paper_nips18
Code accompanying the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" accepted at NIPS 2018
crisbodnar/go-mock-test
A comparison of pegomock and gomock
crisbodnar/grpc-web
gRPC Web implementation for Golang and TypeScript
crisbodnar/HDGan
Pytorch implementation of HDGan
crisbodnar/java-grpc
OpenTracing Instrumentation for gRPC
crisbodnar/location-train-mapper
An API which maps a geolocation to a national UK train. Built at HackTrain 2017
crisbodnar/neural-sheaf-diffusion
crisbodnar/opentracing-java
OpenTracing API for Java
crisbodnar/pytorch-topological
A topological machine learning framework based on PyTorch
crisbodnar/redux-thunk
Thunk middleware for Redux
crisbodnar/StackGAN
crisbodnar/tensorflow-tutorial
Tutorial for Large Scale Data Processing and Optimisation
crisbodnar/tutorials
crisbodnar/universe-starter-agent
A starter agent that can solve a number of universe environments.
crisbodnar/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.