Pinned Repositories
compression-1
Data compression in TensorFlow
DessiLBI
draco
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
modulatedautoencoder
Variable rate with MAE
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
ScrollNet
ScrollNet for Continual Learning
SlimCAE
Slimmable Compressive Autoencoders for Practical Neural Image Compression
tflow
deep learning
tianshou
An elegant PyTorch deep reinforcement learning library.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
FireFYF's Repositories
FireFYF/SlimCAE
Slimmable Compressive Autoencoders for Practical Neural Image Compression
FireFYF/modulatedautoencoder
Variable rate with MAE
FireFYF/ScrollNet
ScrollNet for Continual Learning
FireFYF/compression-1
Data compression in TensorFlow
FireFYF/DessiLBI
FireFYF/draco
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
FireFYF/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
FireFYF/tflow
deep learning
FireFYF/tianshou
An elegant PyTorch deep reinforcement learning library.
FireFYF/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch