berumotto-vermouth

S2R

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

berumotto-vermouth/microxcaling

PyTorch emulation library for Microscaling (MX)-compatible data formats

berumotto-vermouth/S2R

berumotto-vermouth/stable-diffusion

A latent text-to-image diffusion model

berumotto-vermouth/SpQR

berumotto-vermouth/QuIP

Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"

berumotto-vermouth/GPTQ-for-LLaMa

4 bits quantization of LLaMA using GPTQ

berumotto-vermouth/llama

Inference code for LLaMA models

berumotto-vermouth/LLM-Pruner

LLM-Pruner: On the Structural Pruning of Large Language Models. Support LLaMA, Llama-2, Vicuna, Baichuan, etc.

berumotto-vermouth/custom-diffusion

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

berumotto-vermouth/gptq

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

berumotto-vermouth/lora-1

Using Low-rank adaptation to quickly fine-tune diffusion models.

berumotto-vermouth/Mix-of-Show

Code for Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

berumotto-vermouth/LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

berumotto-vermouth/CFDP

CFDP: Common Frequency Domain Pruning

berumotto-vermouth/taming-transformers

Taming Transformers for High-Resolution Image Synthesis

berumotto-vermouth/CLIP

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

berumotto-vermouth/ESRGAN

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

berumotto-vermouth/CLUT-Net

berumotto-vermouth/mmdetection

OpenMMLab Detection Toolbox and Benchmark

berumotto-vermouth/mmcv

OpenMMLab Computer Vision Foundation

berumotto-vermouth/vision

Datasets, Transforms and Models specific to Computer Vision

berumotto-vermouth/ParC-Net

[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"

berumotto-vermouth/linformer-pytorch

My take on a practical implementation of Linformer for Pytorch.

berumotto-vermouth/niti

Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv

berumotto-vermouth/ELAN

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

berumotto-vermouth/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)

berumotto-vermouth/Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

berumotto-vermouth/Efficient-AI-Backbones

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

berumotto-vermouth/EdgeNeXt

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

berumotto-vermouth/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite