khramtsova

khramtsova's Stars

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.6k1983.4k2k

• CuriousAI/mean-teacher

  A state-of-the-art semi-supervised method for image recognition

  Language:Python1.6k5759336

• facebookresearch/DomainBed

  DomainBed is a suite to test domain generalization algorithms

  Language:Python1.4k29106300

• shaoxiongji/federated-learning

  A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

  Language:Python1.3k1528373

• KaiyangZhou/Dassl.pytorch

  A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

  Language:Python1.2k1757172

• mahmoodlab/CLAM

  Open source tools for computational pathology - Nature BME

  Language:Python1.2k21262373

• he-y/filter-pruning-geometric-median

  Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

  Language:Python601877112

• texttron/tevatron

  Tevatron - A flexible toolkit for neural retrieval research and development.

  Language:Python54611101101

• hurcy/awesome-ehr-deeplearning

  Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

  41732189

• DequanWang/tent

  ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

  Language:Python371152347

• mariodoebler/test-time-adaptation

  A repository and benchmark for online test-time adaptation.

  Language:Python20031920

• BorgwardtLab/topological-autoencoders

  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

  Language:Python1417533

• wildphoton/RandConv

  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"

  Language:Python63546

• c-hofer/jmlr_2019

  Code for JMLR paper ``Learning Representations of Persistence Barcodes``

  Language:Jupyter Notebook23112

• cedricrommel/augnet

  Code of "Deep invariant networks with differentiable augmentation layers"

  Language:Python18100

• ThomasRobertFr/hybridnet

  Code for "HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning"

  Language:Python5310