njuptlht

njuptlht's Stars

• orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch

  Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

  Language:Python989210

• li199603/pytorch_focal_loss

  A pytorch implementation of focal loss

  Language:Python91

• chaht01/Co2L

  Co^2L: Contrastive Continual Learning (ICCV2021)

  Language:Python9020

• ki-ljl/FedPer

  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).

  Language:Python645

• deeplearning-wisc/opencon

  Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"

  Language:Python343

• yue123161/Paper_TNSM

  Code for paper: Contrastive Learning Enhanced Intrusion Detection

  Language:Python152

• akshitvjain/deeplearning-network-traffic

  Network Traffic Identification with Convolutional Neural Networks

  Language:Jupyter Notebook236

• sgvaze/generalized-category-discovery

  Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/

  Language:Python19918

• adambielski/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python3.1k635

• k-han/AutoNovel

  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

  Language:Python22420

• JosephKJ/Awesome-Novel-Class-Discovery

  A list of papers that studies Novel Class Discovery

  43856

• snap-stanford/orca

  [ICLR 2022] Open-World Semi-Supervised Learning

  Language:Python9212

• CityU-AIM-Group/FedOSS

  [TMI'23] FedOSS: Federated Open Set Recognition via Inter-client Discrepancy and Collaboration

  Language:Python51

• cugzj/FedoSSL

  code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"

  Language:Python12

• x-tabdeveloping/rvfln

  A Python implementation of random vector functional networks and broad learning systems using Sklearn's Regressor and classifier APIs

  Language:Python6

• MPX0222/BroadLearningSystem-APIs-2.0

  A Modified Toolbox for Broad Learning System, with sklearn liked APIs and Codes. Now BLS, Stacked-BLS, BLS-AE are Released.

  Language:Python213

• zhoudw-zdw/CIL_Survey

  Class-Incremental Learning: A Survey (TPAMI 2024)

  Language:Python21424

• securefederatedai/openfl

  An Open Framework for Federated Learning.

  Language:Jupyter Notebook727204

• Jaap-Meerhof/FEDXGBOOST-MPI4PY

  Secured Federated Learning XGBoost - This project provides the implementation of FL XGBoost in python, which allows the fast prototyping of scecured protocols.

  Language:Python2

• Jaap-Meerhof/Federated_XGBoost_Python

  FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference

  Language:Python121

• TL-System/plato

  A federated learning framework to support scalable and reproducible research

  Language:Python34480

• jjbrophy47/dare_rf

  Machine Unlearning for Random Forests

  Language:Python173

• Samuel-Maddock/federated-boosted-dp-trees

  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"

  Language:Python4310

• y2019xcj/focalloss-for-lightgbm-xgboost

  focal loss (multi-class) for lightgbm/xgboost

  Language:Python83

• conditionWang/FCIL

  This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

  Language:Python10030

• AbductiveLearning/GABL

  Language:Python51

• yuce/pyswip

  PySwip is a Python-Prolog interface that enables querying SWI-Prolog in your Python programs.

  Language:Python47698

• AbductiveLearning/SS-ABL

  Language:Python172

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.2k258

• AbductiveLearning/ABL-HED

  Handwritten Equations Decipherment with Abductive Learning

  Language:Python9722