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Name: Chia-Ming (Chris) Lee
Type: User
Company: Advanced Computer Vision Laboratory
Bio: Working hard.
Location: New Taipei City, Taiwan
Name: Chia-Ming (Chris) Lee
Type: User
Company: Advanced Computer Vision Laboratory
Bio: Working hard.
Location: New Taipei City, Taiwan
Code for ALBEF: a new vision-language pre-training method
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Compound Multi-branch Feature Fusion for Real Image Restoration
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
The official pytorch implementation of "CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion". Submitted to IEEE Transaction on Image Processing (TIP 2024).
Deep learning toolbox based on PyTorch for hyperspectral data classification.
Deep Matrix Capsules Implementation
Accepted by New Trends in Image Restoration and Enhancement workshop (NTIRE), in conjunction with CVPR 2024.
The pytorch implementation of Dynamic Weight Generation Convolution / RRDB-RNN for Deep Learning Assignment II in NCKU.
Accepted by Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis workshop (DEF-AI-MIA), in conjunction with CVPR 2024.
π Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.βββ
Deepfakes Software For All
Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.
Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image restoration models.
The official pytorch implementation of "GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection". Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024).
The official pytorch implementation of "HyFusion: Enhanced Cross-Scale Reception Field Transformer for Hyperspectral and Multispectral Image Fusion".
π Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Intro to Reinforcement Learning (εΌΊεε¦δΉ ηΊ²θ¦οΌ
label smoothing PyTorch implementation
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A resource for learning about Machine learning & Deep Learning
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.