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pervit

Official PyTorch Implementation of Peripheral Vision Transformer, NeurIPS 2022

pose-sensitive-embedding

Pose Sensitive Embedding for Person Re-Identification (PSE)

pose-tensorflow

Human Pose estimation with TensorFlow framework

prompt-engineering-note

🔥🔔prompt-engineering-note🔔🔥

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

python_code

pytorch-doc-zh

Pytorch 中文文档

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorchtocaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

pytorch_geometric

Graph Neural Network Library for PyTorch

randperson

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

reid-survey

Deep Learning for Person Re-identification: A Survey and Outlook

retnet

An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"

rgb_ir_personreid

An independent implementation to reproduce the paper "RGB-Infrared Cross-Modality Person Re-Identification" from ICCV2017

robust-vision-transformer

The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

scripts

Miscellaneous utility and development scripts

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.

semantic-segment-anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

semi-supervised_robust_training

This is the code for semi-supervised robust training (SRT).

seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

shadowsocks-libev

libev port of shadowsocks

shadowsocksx-ng

Next Generation of ShadowsocksX

siamese-network-on-mnist-pytorch

This repository contains the ( crude ) implementation of the classic Siamnese network by Hinton in pytorch, coded in an easy to understand manner

sift-python