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lisx98's Projects

byol

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

deep-learning-for-image-processing

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

dive_into_deep_learning

✔️李沐【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

flatclr

FlatNCE: A Novel Contrastive Representation Learning Objective

Code for unsupervised learning of object landmarks as proposed in "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.

imm-pytorch

PyTorch implementation of "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.

keypoints

Unsupervised learning of Object Landmarks through Conditional Image Generation

lmdis-rep

"Unsupervised Discovery of Object Landmarks as Structural Representations" Project page: http://www.ytzhang.net/projects/lmdis-rep/

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

moco_v3_pytorch

a pytorch implementation for MoCo V3

open-ucn

The first fully convolutional metric learning for geometric/semantic image correspondences.

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

simclr-1

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

simclrv2-pytorch

Pretrained SimCLRv2 models in Pytorch

spatial-transformer-networks_pytorch

Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.

stn.pytorch

pytorch version of spatial transformer networks

tps_stn_pytorch

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

universal-correspondence-network

A TensorFlow implementation of the Universal Correspondence Network paper.

unsupervisedlandmarklearning

Implementation for the unsupervised latent landmark learning work from NVIDIA Applied Deep Learning Research

unsupervisedlandmarks

Code for paper Unsupervised Learning of Object Landmarks via Self-Training Correspondence (NeurIPS2020)

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