RobertTLange's Stars
stas00/ml-engineering
Machine Learning Engineering Open Book
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
n2cholas/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
google/brain-tokyo-workshop
🧠🗼
sail-sg/envpool
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
google/learned_optimization
google/caliban
Research workflows made easy, locally and in the Cloud.
ayaka14732/tpu-starter
Everything you want to know about Google Cloud TPU
mle-infrastructure/mle-monitor
Lightweight Experiment & Resource Monitoring 📺
Evolutionary-Intelligence/pypop
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
mle-infrastructure/mle-hyperopt
Lightweight Hyperparameter Optimization 🚂
chrhenning/hypnettorch
Package for working with hypernetworks in PyTorch.
n2cholas/jax-resnet
Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
shyamsn97/hyper-nn
Easy Hypernetworks in Pytorch and Jax
floringogianu/atari-agents
Code and links for over 25,000 trained Atari agents
toshikwa/rljax
A collection of RL algorithms written in JAX.
AxelThevenot/Python_Benchmark_Test_Optimization_Function_Single_Objective
mil-ad/stui
A Slurm dashboard for the terminal.
flxsosa/DeepHyperNEAT
A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf
luchris429/popjaxrl
Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
kayuksel/multi-rl-crowd-sim
Multi-Agent Reinforcement Learning of Crowd Simulation in GPU (PyTorch)
bmazoure/ppo_jax
Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.
mle-infrastructure/mle-scheduler
Lightweight Cluster/Cloud VM Job Management 🚀
releaunifreiburg/HPO-B
[NeurIPS DBT 2021] HPO-B
brentyi/minGPT-flax
GPT implementation in Flax
yixiaoer/mistral-jax
JAX implementation of the Mistral 7b v0.1 model
smonsays/metax
flexible meta-learning in jax
keraJLi/pureRL
smonsays/shrink-perturb
Optax implementation of shrink and perturb (Ash & Adams, 2020).
mezdahun/PygameModelling22
This is the offcicial repo of the pygame modelling course for collective systems workshop 2022 Berlin