Pinned Repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
AICUP_DB
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
CMT_CNN-meet-Vision-Transformer
A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.
Fastformer-PyTorch
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
MobileViT
Unofficial PyTorch implementation of MobileViT based on paper "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".
Next-ViT
Unofficial PyTorch implementation of Next-ViT based on paper
RegNet
Unofficial PyTorch implementation of RegNet based on paper "Designing Network Design Spaces".
Style_Transfer_PyTorch
A PyTorch implement of the paper "Perceptual losses for real-time style transfer and super-resolution".
ViTGAN
A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.
wilile26811249's Repositories
wilile26811249/ViTGAN
A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.
wilile26811249/Fastformer-PyTorch
Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
wilile26811249/MobileViT
Unofficial PyTorch implementation of MobileViT based on paper "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".
wilile26811249/CMT_CNN-meet-Vision-Transformer
A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.
wilile26811249/Next-ViT
Unofficial PyTorch implementation of Next-ViT based on paper
wilile26811249/Style_Transfer_PyTorch
A PyTorch implement of the paper "Perceptual losses for real-time style transfer and super-resolution".
wilile26811249/AICUP_DB
wilile26811249/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
wilile26811249/RegNet
Unofficial PyTorch implementation of RegNet based on paper "Designing Network Design Spaces".
wilile26811249/Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
wilile26811249/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
wilile26811249/ConvMixer
wilile26811249/COVID_GAN
wilile26811249/ESRGAN
A PyTorch implementation of ESRGAN based on paper "Enhanced Super-Resolution Generative Adversarial Networks".
wilile26811249/gradio
Create UIs for your machine learning model in Python in 3 minutes
wilile26811249/KalmanFilter
Simple implementation of kalman filter
wilile26811249/ml-cvnets
CVNets: A library for training computer vision networks
wilile26811249/MLOps
A project-based course on the foundations of MLOps with a focus on intuition and application.
wilile26811249/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
wilile26811249/PlotNeuralNet
Latex code for making neural networks diagrams
wilile26811249/Python
All Algorithms implemented in Python
wilile26811249/PyTorch_Template
Deep learning training template based on PyTorch framework. And implement some classical model in CV field.
wilile26811249/Reg_CoAtNet
RegNet merge with the CoAtNet
wilile26811249/RegNet_FPN
wilile26811249/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
wilile26811249/SimCLR
A PyTorch implementation of SimCLR based on ICML 2020 paper A Simple Framework for Contrastive Learning of Visual Representations.
wilile26811249/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
wilile26811249/wilile26811249
wilile26811249/yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
wilile26811249/yolov5_attention
Placed the pretrained weight.