Russian Drama Corpus (in TEI-P5)

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

Slides for the ACN lectures (from 2024/25)

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

multi-task learning for routing problem

Simba

New structural distributional shifts for evaluating graph models

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Recent research papers about Foundation Models for Combinatorial Optimization

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting.

Open Library for IMage Precompensation

Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"

Python library for training, evaluating, using deep learning for industrial monitoring tasks.

Library for working with TSPLIB files.

A benchmarking repo with various solution methods to various machine scheduling problems

[AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on trajectories produced by LaCAM, it generates actions under p…

Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —

ProbTS is a benchmarking toolkit for time series forecasting.

Scalable and user friendly neural 🧠 forecasting algorithms.

a Python toolbox for benchmarking machine learning on POTS (Partially-Observed Time Series), supporting processing pipelines of 172 public time-series datasets

Generative Agents: Interactive Simulacra of Human Behavior

A benchmark of meaningful graph datasets with tabular node features

Code for paper RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement

Amnezia VPN Client (Desktop+Mobile)

TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.