SimulatedAnnealing

openai-gym-solns

learning-to-learn

Learning to Learn in TensorFlow

pytorch-deep-markov-model

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAA...

pytorch-minimize

Use scipy.optimize.minimize as a PyTorch Optimizer.

Soft-Actor-Critic

PyTorch Implementation of Soft Actor-Critic Algorithm

optim-rl

Easy, flexible, and modular RL components

ml-design-patterns

Software Architecture for ML engineers

rlrd-aaai2022

An official implementation of "An Efficient Combinatorial Optimization Model Using Learning-to-Ra...

PytorchExamples

robustRL

Robust policy search algorithms which train on model ensembles

lint

lint - Leveraging INTerpretability

snapshot_ensemble

Train TensorFlow Keras models with cosine annealing and save an ensemble of models with no additi...

esgd

ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning mod...

schedule_free

Schedule-Free Optimization in PyTorch

pyAMOSA

Python implementation of the Archived Multi-Objective Simulated Annealing (AMOSA) optimization he...