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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

dacbench

A benchmark library for Dynamic Algorithm Configuration.

gmc-drl.github.io

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

hpolib

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

metabox

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)

mtrl

Multi Task RL Baselines

pflacco

Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

psc4metabbo

pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

s2e-ga

paper code

symbol

Python implementation of SYMBOL