Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

ETNA – Time-Series Library

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

ETNA – Time-Series Library

Dark Reader Chrome and Firefox extension