Simple-implementation-of-Mobile-Former At present, only the model but no trained. There may be some bug in the code, and some details may be different from the original paper, if you are interested in this, welcome to discuss. Add: CutUp,MixUp,RandomErasing,SyncBatchNorm for DDP train Inference: paper:https://arxiv.org/pdf/2108.05895.pdf https://github.com/xiaolai-sqlai/mobilenetv3 https://github.com/lucidrains/vit-pytorch https://github.com/Islanna/DynamicReLU GitHub https://github.com/ACheun9/Pytorch-implementation-of-Mobile-Former    

This codebase provides a PyTorch implementation of Protagonist Antagonist Induced Regret Environment Design (PAIRED), which was first introduced in “Emergent Complexity and Zero-Shot Transfer via Unsupervised Environment Design” (Dennis et al, 2020). This implementation comes integrated with custom adversarial maze environments based on MiniGrid environment (Chevalier-Boisvert et al, 2018), as used in Dennis et al, 2020. Unsupervised environment design (UED) methods propose a curriculum of tasks or environment instances (levels) that aims to foster more sample efficient learning and robust […]

Simple torch module implementation of Alias-Free GAN. This repository including Note: Since this repository is unofficial, filter and upsample could be different with official implementation. Note: 2d lowpass filter is applying sinc instead of jinc (first order Bessel function of the first kind) in paper Requirements Due to torch.kaiser_window and torch.i0 are implemeted after 1.7.0, our repository need torch>=1.7.0. TODO [x] 2d sinc filter [x] 2d resample [x] devide 1d and 2d modules [ ] pip packaging Test results 1d […]