Stars
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
A high-level toolbox for using complex valued neural networks in PyTorch
This repository contains implementations and illustrative code to accompany DeepMind publications
This is a collection of our NAS and Vision Transformer work.
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
Open source code for AlphaFold 2.
This package contains deep learning models and related scripts for RoseTTAFold
Recent Transformer-based CV and related works.
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens (CVPR 2022)
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
Official PyTorch implementation of SegFormer
The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux
A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)
PyTorch implementation of SimSiam https//arxiv.org/abs/20 8965 11.10566
PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)
Two simple and effective designs of vision transformer, which is on par with the Swin transformer
sshleifer / Graph-WaveNet
Forked from nnzhan/Graph-WaveNetModifications to Graph Wavenet
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
Sequence modeling benchmarks and temporal convolutional networks