Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf]
The official repository for Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. Code and model will be uploaded when ready.
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Overview
Pytorch Implementation of PointNet and PointNet++++
Pytorch Implementation of PointNet and PointNet++ This repo is implementation for PointNet and PointNet++ in pytorch. Update 2021/03/27: (1) Release p
1 Nov 11, 2021
Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.
Pricefy Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, n
1 May 10, 2022
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r
170 Jan 03, 2023
This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object Tracking with TRansformer.
MOTR: End-to-End Multiple-Object Tracking with TRansformer This repository is an official implementation of the paper MOTR: End-to-End Multiple-Object
348 Jan 07, 2023
Deep Sea Treasure Environment for Multi-Objective Optimization Research
DeepSeaTreasure Environment Installation In order to get started with this environment, you can install it using the following command: python3 -m pip
6 Nov 14, 2022
A developer interface for creating Chat AIs for the Chai app.
ChaiPy A developer interface for creating Chat AIs for the Chai app. Usage Local development A quick start guide is available here, with a minimal exa
28 Dec 28, 2022
sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code
sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ
305 Dec 21, 2022
Automatic detection and classification of Covid severity degree in LUS (lung ultrasound) scans
Final-Project Final project in the Technion, Biomedical faculty, by Mor Ventura, Dekel Brav & Omri Magen. Subproject 1: Automatic Detection of LUS Cha
1 Dec 18, 2021
Automatic learning-rate scheduler
AutoLRS This is the PyTorch code implementation for the paper AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly published
33 Nov 18, 2022
The official TensorFlow implementation of the paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Action Transformer A Self-Attention Model for Short-Time Human Action Recognition This repository contains the official TensorFlow implementation of t
20 Jan 03, 2023
Add gui for YoloV5 using PyQt5
HEAD 更新2021.08.16 **添加图片和视频保存功能： 1.图片和视频按照当前系统时间进行命名 2.各自检测结果存放入output文件夹 3.摄像头检测的默认设备序号更改为0，减少调试报错 温馨提示： 1.项目放置在全英文路径下，防止项目报错 2.默认使用cpu进行检测，自
65 Dec 27, 2022
Repository providing a wide range of self-supervised pretrained models for computer vision tasks.
Hierarchical Pretraining: Research Repository This is a research repository for reproducing the results from the project "Self-supervised pretraining
53 Nov 09, 2022
Repository for the paper "From global to local MDI variable importances for random forests and when they are Shapley values"
From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera (
The sixth place winning solution (6/220) in 2021 Gaofen Challenge.
SwinTransformer + OBBDet The sixth place winning solution (6/220) in the track of Fine-grained Object Recognition in High-Resolution Optical Images, 2
46 Dec 02, 2022
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable RL [ Documentation | Demo Video ] MetaDrive is a driving simulator with the following
276 Jan 04, 2023
DLFlow is a deep learning framework.
DLFlow是一套深度学习pipeline，它结合了Spark的大规模特征处理能力和Tensorflow模型构建能力。利用DLFlow可以快速处理原始特征、训练模型并进行大规模分布式预测，十分适合离线环境下的生产任务。利用DLFlow，用户只需专注于模型开发，而无需关心原始特征处理、pipeline构建、生产部署等工作。
152 Oct 27, 2022
Deep Learning applied to Integral data analysis
DeepIntegralCompton Deep Learning applied to Integral data analysis Module installation Move to the root directory of the project and execute : pip in
1 Dec 10, 2021
Experiments with Fourier layers on simulation data.
Factorized Fourier Neural Operators This repository contains the code to reproduce the results in our NeurIPS 2021 ML4PS workshop paper, Factorized Fo
57 Dec 25, 2022
A simple and useful implementation of LPIPS.
lpips-pytorch Description Developing perceptual distance metrics is a major topic in recent image processing problems. LPIPS[1] is a state-of-the-art
121 Dec 24, 2022
Generalized and Efficient Blackbox Optimization System.
OpenBox Doc | OpenBox中文文档 OpenBox: Generalized and Efficient Blackbox Optimization System OpenBox is an efficient and generalized blackbox optimizatio
238 Dec 29, 2022