wenbinlee Goto Github PK

iccv2019

ICCV 2019 papers/new汇总帖，极市团队整理

iclr2021-oral_distribution_calibration

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landscapes

A dependency free library of standardized optimization test functions written in pure Python.

laso

LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation

lff

Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mast

ManifoldAlignmentStyleTransfer

mvnncor

The code of "Deep Embedded Complementary and Interactive Information for Multi-view Classification", AAAI 2020.

opml

The matlab code of "OPML: A One-Pass Closed-Form Solution for Online Metric Learning", Pattern Recognition 2018.

pixel-level-contrastive-learning

Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch

pycil

PyCIL: A Python Toolbox for Class-Incremental Learning

pydml

Distance Metric Learning Algorithms for Python

pytorch-image-retrieval

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (CVPR 2017).

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

reptile-pytorch

PyTorch implementation of OpenAI's REPTILE Algorithm

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sharp-maml

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

simclr-pytorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

simple_shot

simsiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

simsiam-1

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

softtriple

PyTorch Implementation for SoftTriple Loss

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

trip-roma

The PyTorch code of "Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings", TMLR 2023.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.