THUML: Machine Learning Group @ THSS

Repositories

• Transfer-Learning-Library

  Transfer-Learning-Library

  deep-learning transfer-learning domain-adaptation
  Python MIT 100 631 0 0 Updated Jan 26, 2021

• easydl

  utils to make deep learning easy
  Python MIT 7 17 0 0 Updated Jan 21, 2021

• CoTuning

  Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
  Python 0 8 0 0 Updated Jan 14, 2021

• TransNorm

  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
  Python 9 58 0 0 Updated Dec 10, 2020

• TransCal
  Python 1 0 0 0 Updated Dec 10, 2020

• StochNorm

  Code release for NeurIPS 2020 paper "Stochastic Normalization"
  Python MIT 1 8 0 0 Updated Dec 9, 2020

• Calibrated-Multiple-Uncertainties

  Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)
  Python 0 7 1 0 Updated Nov 19, 2020

• transferable-memory
  Python 1 15 1 0 Updated Aug 26, 2020

• Versatile-Domain-Adaptation

  Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)
  Python 3 8 1 0 Updated Aug 2, 2020

• PAN
  Python 1 6 0 0 Updated Jul 6, 2020

• predrnn-pytorch

  Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

  recurrent-neural-networks predictive-learning video-prediction
  Python 20 54 5 0 Updated May 10, 2020

• Universal-Domain-Adaptation

  Code release for Universal Domain Adaptation(CVPR 2019)
  Python 34 163 4 0 Updated Apr 28, 2020

• MMHH
  Python 3 14 3 0 Updated Apr 18, 2020

• Batch-Spectral-Shrinkage

  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  Python 2 11 0 0 Updated Nov 26, 2019

• Xlearn

  Transfer Learning Library

  deep-learning transfer-learning
  Jupyter Notebook 154 402 17 2 Updated Oct 15, 2019

• TCL

  Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)
  Python 3 12 1 0 Updated Sep 26, 2019

• Separate_to_Adapt

  Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)
  Python MIT 10 25 4 0 Updated Aug 7, 2019

• HashNet

  Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

  hashing deep-learning learning-to-search
  Jupyter Notebook MIT 72 184 13 0 Updated Aug 2, 2019

• Batch-Spectral-Penalization

  Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)
  Python 18 62 3 0 Updated Jul 23, 2019

• ETN

  Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation"
  Python 8 32 1 0 Updated Jul 7, 2019

• MDD

  Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
  Python 23 81 3 0 Updated Jun 14, 2019

• Deep-Embedded-Validation

  Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
  Python MIT 8 40 0 0 Updated May 14, 2019

• CDAN

  Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
  Jupyter Notebook 76 277 10 1 Updated May 14, 2019

• Transferable-Adversarial-Training

  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
  Python MIT 14 68 3 0 Updated May 12, 2019

• DCN

  Deep Calibration Network
  Python 2 13 0 0 Updated Mar 2, 2019

• DPH

  Code release for "Deep Priority Hashing" (ACMMM 2018)
  C++ 3 18 2 0 Updated Jan 17, 2019

• HashGAN

  HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

  hashing generative-adversarial-network
  Python MIT 21 57 4 0 Updated Nov 25, 2018

• GPU-Monitor
  Python 1 0 0 0 Updated Nov 1, 2018

• PADA

  Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
  Python 38 77 0 0 Updated Oct 29, 2018

• MADA

  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  C++ 17 48 3 0 Updated Oct 15, 2018