kevinaza111

RhythmMamba

RhythmMamba

PhysFormer

PhysFromer reproduction

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

VisionMamba

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

rPPG-MAE

VMamba

VMamba: Visual State Space Models，code is based on mamba

Zero-DCE

Zero-DCE code and model

Semantic-Guided-Low-Light-Image-Enhancement

This is the official Pytorch implementation for our paper "Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement."

FastLLVE

FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table (ACM MM 2023)

Light-VQA

Dataset and codes will be released soon.

Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

AI-research-tools

:hammer:AI 方向好用的科研工具

Semantic-Aware-Low-Light-Image-Enhancement

Semantic-Aware LLIE. CVPR 2023

rPPG-MAE

CLIP-LIT

[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

PhysFormer

PhysFormer CVPR2022

PhysNet

Try to reproduce Physnet and EfficientPhys for rPPG measurement

rppg

Benchmark Framework for fair evaluation of rPPG

DeepPulse-pytorch

PyTorch implementation of pulse measurement neural networks.

BH-rPPG-dataset

SCI

[CVPR 2022] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".

SCI

[CVPR 2022 Oral] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".

low-light-image-enhancment

Related paper and code list

PhysNet

code of BMVC2019 paper 'Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks'

rPPG-Toolbox

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

pyVHR

Python framework for Virtual Heart Rate

NBHRnet

The code for NBHRnet submission.

California-Housing-Price-Prediction

Build a model of housing prices to predict median house values in California using the provided dataset. Train the model to learn from the data to predict the median housing price in any district, given all the other metrics. Predict housing prices based on median_income and plot the regression chart for it.

2022-Machine-Learning-Specialization

data_tangyudi

唐宇迪 資料收集