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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

seaborncn

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.

segment-everything-everywhere-all-at-once

Official implementation of the paper "Segment Everything Everywhere All at Once"

shadowsocksr-native

从容翻越党国敏感日 ShadowsocksR (SSR) native implementation for all platforms, GFW terminator

simclr

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

simclr-1

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

simclr-2

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

simclr-ori

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

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" (TPAMI 2022 - in submission)

simpledb

数据库管理系统课程项目

sopaper

Automatically Search and Download Papers

ssfree

科学上网

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swissarmytransformer

SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.

tutorials

PyTorch tutorials.

udasod-upl

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning, AAAI Conference on Artificial Intelligence (AAAI), 2022

unicorn-maml

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

url

Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

vertebral

Demonstration of the effect of synthetic features on linear models

vision

Datasets, Transforms and Models specific to Computer Vision

vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119