TINA-WA

TINA-WA's Stars

• wangyt95/LinearRegression-Notes

  For sharing purposes

  262

• zengyan-97/X-VLM

  X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

  Language:Python44651

• zengyan-97/X2-VLM

  All-In-One VLM: Image + Video + Transfer to Other Languages / Domains (TPAMI 2023)

  Language:Python13913

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML57.4k6.9k

• bertinetto/r2d2

  [ICLR'19] Meta-learning with differentiable closed-form solvers

  Language:Python11418

• ZhenWang-PhD/Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning

  Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’

  Language:Python202

• Carbonaraa/TSA-MAML

  Pytroch code for Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML

  Language:Python81

• haebeom-lee/l2b

  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)

  Language:Python9810

• kjunelee/MetaOptNet

  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

  Language:Python52897

• siihwanpark/MAML

  PyTorch implementation of the paper 'Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks' (ICML 2017)

  Language:Python4

• josh-strong/MAML

  Implementing PyTorch version of model-agnostic meta learning (MAML) algorithm.

  Language:Jupyter Notebook5

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.7k353

• WangYueFt/rfs

  Language:Python36666

• ArnoutDevos/maml-cifar-fs

  Extended code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" with CIFAR-fs classification

  Language:Python133

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23k8k

• peymanbateni/simple-cnaps

  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)

  Language:Python11524

• zhanwen/MathModel

  研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

  Language:TeX8.2k2.1k

• Jingkang50/OODSurvey

  The Official Repository for "Generalized OOD Detection: A Survey"

  Language:Jupyter Notebook44338

• RenkunNi/MetaContrastive

  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".

  Language:Python201

• BoLiu-SVCL/meta-open

  Language:Python3210

• twj-KAIST/OOD-MAML

  Language:Python12

• thuiar/OKD-Reading-List

  Papers for Open Knowledge Discovery

  Language:TeX11924

• floodsung/Meta-Learning-Papers

  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

  2.6k474

• sudharsan13296/Awesome-Meta-Learning

  A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

  1.5k299

• ManiadisG/DivClust

  Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.

  Language:Python262

• XLearning-SCU/2023-CVPR-FCMI

  Language:Python182

• xiangyu8/PT-MAP-sf

  Language:Python241

• windingwind/zotero-pdf-translate

  Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

  Language:TypeScript7.4k347

• sgvaze/osr_closed_set_all_you_need

  Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"

  Language:Python26532

• ebennequin/few-shot-open-set

  Implementation of Open-Set Likelihood Maximization for Few-Shot Learning

  Language:Python392