cvanoort's Stars
gursky1/cygym
Cythonized versions of the OpenAI Gym classic control environments.
beyretb/AnimalAI-Olympics
Code repository for the Animal AI Olympics competition
openai/procgen
Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
ryanjgallagher/shifterator
Interpretable data visualizations for understanding how texts differ at the word level
Hannah-Sten/TeXiFy-IDEA
LaTeX support for the IntelliJ platform by JetBrains.
FlamingTempura/bibtex-tidy
Cleaner and Formatter for BibTeX files
Ethck/Path-of-Accounting
Lookup utility for Path of Exile based on pathofexile.com/trade
smallwat3r/droid-sans-mono-sw
Customised version of the Droid Sans Mono font.
tilkb/SVRGoptimizerKeras
SVRG optimizer extension for Keras
evvo-labs/evvo
Solve multi-objective optimization problems with distributed evolutionary algorithms
opherlieber/rltime
RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
CMA-ES/pycma
Python implementation of CMA-ES
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
PaulPauls/Tensorflow-Neuroevolution
Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT
ChuaCheowHuan/reinforcement_learning
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
katerakelly/oyster
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
krasserm/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
intel/cerl
AI-metrics/AI-metrics
An open source project to document AI progress through data.
cshenton/atari-leaderboard
A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).
openai/random-network-distillation
Code for the paper "Exploration by Random Network Distillation"
dcmocanu/sparse-evolutionary-artificial-neural-networks
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
AlliedToasters/synapses
DEAP/deap
Distributed Evolutionary Algorithms in Python
eliorc/node2vec
Implementation of the node2vec algorithm.
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016