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[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)
implementation of the paper Nonparametric Blind Super-Resolution
CFDP: Common Frequency Domain Pruning
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Deformable Convolutional Networks
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Distance-IoU Loss into YOLO v3
Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution
[TCSVT2021] Lightweight Image Super-Resolution with Expectation-Maximization Attention Mechanism
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Pytorch library for fast transformer implementations
Flops counter for convolutional networks in pytorch framework
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
4 bits quantization of LLaMA using GPTQ
[ICML'21] I-BERT: Integer-only BERT Quantization
Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
kernelGAN pytorch
Transformer based on a variant of attention that is linear complexity in respect to sequence length
My take on a practical implementation of Linformer for Pytorch.
Inference code for LLaMA models
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.