berumotto-vermouth Goto Github PK

adaint

[CVPR 2022] Official PyTorch Implementation of "AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement" (https://arxiv.org/abs/2204.13983)

blind_sr_michaeli_irani

implementation of the paper Nonparametric Blind Super-Resolution

cfdp

CFDP: Common Frequency Domain Pruning

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clut-net

cmt.pytorch

Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

deformable-convnets

Deformable Convolutional Networks

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

diou-darknet

Distance-IoU Loss into YOLO v3

dominosearch

dsconv

edgenext

Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

elan

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

emasrn

[TCSVT2021] Lightweight Image Super-Resolution with Expectation-Maximization Attention Mechanism

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

fast-transformers

Pytorch library for fast transformer implementations

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

gptq-for-llama

4 bits quantization of LLaMA using GPTQ

i-bert

[ICML'21] I-BERT: Integer-only BERT Quantization

ikc

Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)

image-adaptive-3dlut

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

kernelgan

kernelGAN pytorch

linear-attention-transformer

Transformer based on a variant of attention that is linear complexity in respect to sequence length

linformer-pytorch

My take on a practical implementation of Linformer for Pytorch.

llama

Inference code for LLaMA models