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- Implementations, Pre-training Code and Datasets of Large Time-Series Models
- Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works
- Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
- Official repository for "ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks", https://arxiv.org/abs/2502.00803
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369
- About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)
- About Code release for "Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models" (ICLR 2025)
- A Library for Advanced Deep Time Series Models.
- A Library for Advanced Neural PDE Solvers.
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/2402.02366
TATO
Public- Official repository for "RLVR-World: Training World Models with Reinforcement Learning", https://arxiv.org/abs/2505.13934
TrajWorld
PublicOfficial repository for "Trajectory World Models for Heterogeneous Environments" (ICML 2025), https://arxiv.org/abs/2502.01366- About model release for "Timer-XL: Long-Context Transformers for Unified Time Series Forecasting"
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
- Official repository for "CompilerDream: Learning a Compiler World Model for General Code Optimization" (KDD 2025), https://arxiv.org/abs/2404.16077
- Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223
depyf
PublicBTTackler
Public- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
- Code release for "Long-Sequence Recommendation Models Need Decoupled Embeddings" (ICLR 2025), https://arxiv.org/abs/2410.02604
Autoformer
PublicAbout Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
- About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9
- About Code release for “DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction” (NeurIPS 2024), https://arxiv.org/abs/2402.02425
Diffusion-Tuning
Public- Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499