ming053l Goto Github PK

aicity_2023_track5

albef

Code for ALBEF: a new vision-language pre-training method

albumentations

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

auto-wcebleedgen-challenge-version-v2

basicsr

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.

cmfnet

Compound Multi-branch Feature Fusion for Real Image Restoration

combining-efficientnet-and-vision-transformers-for-video-deepfake-detection

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.

craft_for_ntire24_reproducibility

csakd

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).

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

deepmatrixcapsules

Deep Matrix Capsules Implementation

drct

Accepted by New Trends in Image Restoration and Enhancement workshop (NTIRE), in conjunction with CVPR 2024.

dynamic-weight-generation-conv-rrdb-rnn

The pytorch implementation of Dynamic Weight Generation Convolution / RRDB-RNN for Deep Learning Assignment II in NCKU.

e2d

Accepted by Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis workshop (DEF-AI-MIA), in conjunction with CVPR 2024.

e2d-for-covid-19-detection

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

faceswap

Deepfakes Software For All

fake-face-images-detection-tensorflow

Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.

friedricelab

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.

grace

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).

hyfusion

The official pytorch implementation of "HyFusion: Enhanced Cross-Scale Reception Field Transformer for Hyperspectral and Multispectral Image Fusion".

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

introrl

Intro to Reinforcement Learning (强化学习纲要）

label-smoothing-pytorch

label smoothing PyTorch implementation

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

machine-learning-without-any-libraries

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

ming053l.github.io

ml_assignment