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Name: THUML @ Tsinghua University
Type: Organization
Bio: Machine Learning Group, School of Software, Tsinghua University
Name: THUML @ Tsinghua University
Type: Organization
Bio: Machine Learning Group, School of Software, Tsinghua University
Code release of "Collective Deep Quantization of Efficient Cross-modal Retrieval" (AAAI 17)
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
About 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"
Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)
Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499
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
Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
Code release of "Deep Visual-Semantic Quantization of Efficient Image Retrieval" (CVPR 17)
Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)
Deep Calibration Network
Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)
Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578
Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
Code release for "Deep Priority Hashing" (ACMMM 2018)
Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation"
A lightweight library that implements state-of-the-art few-shot learning algorithms.
About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)
Code release of "Deep Hashing Network for Efficient Similarity Retrieval" (AAAI 16)
HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.