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Time-Series-Library
A Library for Advanced Deep Time Series Models.Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain GeneralizationAutoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fahAnomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_TimesNet
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oqawesome-multi-task-learning
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.Xlearn
Transfer Learning LibraryNonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415predrnn-pytorch
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.depyf
depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.CDAN
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)Flowformer
About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdfUniversal-Domain-Adaptation
Code release for Universal Domain Adaptation(CVPR 2019)HashNet
Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)Large-Time-Series-Model
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)LogME
Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)Koopa
Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803Corrformer
About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9A-Roadmap-for-Transfer-Learning
MDD
Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".Self-Tuning
Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)SimMTM
About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861PADA
Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)Batch-Spectral-Penalization
Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)Transferable-Adversarial-Training
Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classi๏ฌers (ICML2019)TransNorm
Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)MTlearn
Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)SAN
Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)HashGAN
HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GANDeep-Embedded-Validation
Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)Latent-Spectral-Models
About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664CLIPood
About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864iVideoGPT
Official repo for "iVideoGPT: Interactive VideoGPTs are Scalable World Models", https://arxiv.org/abs/2405.15223Transolver
About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/2402.02366MADA
Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)MotionRNN
About Code release for "MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions" (CVPR 2021) https://arxiv.org/abs/2103.02243ETN
Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation"Debiased-Self-Training
Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)Versatile-Domain-Adaptation
Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)ContextWM
Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499Separate_to_Adapt
Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"CoTuning
Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"OpenDG-DAML
Code release for Open Domain Generalization with Domain-Augmented Meta-Learning (CVPR2021)Calibrated-Multiple-Uncertainties
Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)TimeSiam
Batch-Spectral-Shrinkage
Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)StochNorm
Code release for NeurIPS 2020 paper "Stochastic Normalization"Transferable-Query-Selection
Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)Decoupled-Adaptation-for-Cross-Domain-Object-Detection
Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578few-shot
A lightweight library that implements state-of-the-art few-shot learning algorithms.HarmonyDream
Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344transferable-memory
VideoDG
TCL
Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)SPOT
Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239DPH
Code release for "Deep Priority Hashing" (ACMMM 2018)MMHH
Metasets
PAN
DCN
Deep Calibration NetworkModeRNN
ForkMerge
Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)TAH
Code release for "Transfer Adversarial Hashing for Hamming Space Retrieval" (AAAI 2018)TransCal
learn_torch.compile
torch.compile artifacts for common deep learning models, can be used as a learning resource for torch.compileHelmFluid
About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.10565Multi-Embedding
About Code Release for "On the Embedding Collapse When Scaling Up Recommendation Models" (ICML 2024)Zoo-Tuning
Code release for Zoo-Tuning: Adaptive Transfer from A Zoo of Models (ICML2021)timer
See the official code and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models"Regressive-Domain-Adaptation-for-Unsupervised-Keypoint-Detection
Code for CVPR 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection (RegDA) https://arxiv.org/abs/2103.06175MitNet
About Code Release for "Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms" (ICML 2023)MobileAttention
Official implementation of "Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers in PyTorch". To run the code, you can refer to https://github.com/thuml/Flowformer.Love Open Source and this site? Check out how you can help us