Pinned Repositories
AdaAttN
Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.
aicoco
“爱可可-爱生活”微博内容精选
AIRDet
Advanced industrial efficiency-oriented object detection.
ARF-svox2
Artistic Radiance Fields
avatar-net
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CA_Entropy_Model
Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"
cae
Lossy Image Compression with Compressive Autoencoders
clone_anonymous_github
clone/download repositories from https://anonymous.4open.science/
compression
Data compression in TensorFlow
Amo5's Repositories
Amo5/AdaAttN
Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.
Amo5/AIRDet
Advanced industrial efficiency-oriented object detection.
Amo5/ARF-svox2
Artistic Radiance Fields
Amo5/clone_anonymous_github
clone/download repositories from https://anonymous.4open.science/
Amo5/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Amo5/HDR-DSP-SR
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites
Amo5/IEContraAST
This is the official PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning".
Amo5/img-comp-reference
[ICLR2021] Learning Accurate Entropy Model with Global Reference for Image Compression
Amo5/IPCodec
Amo5/LASST
Amo5/lightweight-neural-architecture-search
Amo5/mtcnn
MTCNN face detection implementation for TensorFlow, as a PIP package.
Amo5/NATTEN
Neighborhood Attention Extension. Bringing attention to a neighborhood near you!
Amo5/Neighborhood-Attention-Transformer
Official NAT (Neighborhood Attention Transformer) and DiNAT (Dilated Neighborhood Attention Transformer) repository.
Amo5/PaddleVideo
Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application
Amo5/PaintTransformer
Official PaddlePaddle implementation of Paint Transformer
Amo5/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Amo5/refiners
A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
Amo5/Soft-NMS
Python and Pytorch two implements of Soft NMS algorithm
Amo5/STAM
Official implementation of "An Image is Worth 16x16 Words, What is a Video Worth?" (2021 paper)
Amo5/STAM-pytorch
Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification
Amo5/StylizedNeRF
[CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning
Amo5/Stylizing-3D-Scene
Amo5/TDN
[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
Amo5/TimeSformer
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
Amo5/TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
Amo5/Uncertainty-Based-Thin-Cloud-Removal-Network-via-Conditional-Variational-Autoencoders
Amo5/vision_transformer
Amo5/YUV2RGB
yuv2rgb
Amo5/ZenNAS