Scitator

Sergey Kolesnikov's starred repositories

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Language:PythonMIT12999 341 334

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Language:PythonMIT4759 58 383

ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Language:PythonBSD-3-Clause3532 150 109

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Language:PythonMIT3204 47 200

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

MIT1048 49 2

CORL

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

Language:PythonApache-2.0986 15 28

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

Language:PythonMIT778 8 99

sample-factory

High throughput synchronous and asynchronous reinforcement learning

Language:PythonMIT760 18 98

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

MIT701 20 9

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

Language:Jupyter NotebookMIT676 9 9

OODSurvey

The Official Repository for "Generalized OOD Detection: A Survey"

Language:Jupyter Notebook430 14 3

CORL

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

Language:PythonApache-2.0401 3 10

or-gym

Environments for OR and RL Research

Language:PythonMIT361 11 28

safety-gymnasium

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Language:PythonApache-2.0331 9 23

arena

DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation

Language:PythonNOASSERTION297 8 41

awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

MIT292 120

POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.

Language:PythonMIT165 9 12

mjx

Mjx: A framework for Mahjong AI research

Language:C++MIT162 4 419

scope-rl

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

Language:PythonApache-2.0102 5 6

etna

ETNA – Time-Series Library

Language:PythonApache-2.085 1 170

katakomba

Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)

Language:PythonNOASSERTION63 30

WOODS

Benchmarks for Out-of-Distribution Generalization in Time Series Tasks

Language:PythonMIT60 10 9

ReBRAC

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

Language:Jupyter NotebookApache-2.050 20

palbert

Code for the paper "PALBERT: Teaching ALBERT to Ponder", NeurIPS 2022 Spotlight

Language:PythonApache-2.037 2 1

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

CC0-1.037 1 10

katakomba

Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)

Language:PythonNOASSERTION3500

open-tlab

Примеры пропозалов для подачи заявки в Open.TLab

25 20

probabilistic-embeddings

"Probabilistic Embeddings Revisited" paper official repository

Language:PythonApache-2.024 30

lb-sac

Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Workshop

Language:PythonApache-2.018 4 1

cnf

Official implementation for "Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows", NeurIPS 2022, Offline RL Workshop

Language:PythonApache-2.012 30