2409 Repositories
Python digital-image-processing Libraries
An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21
FIDNet_SemanticKITTI Motivation Implementing complicated network modules with only one or two points improvement on hardware is tedious. So here we pr
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification.
This Web App lets you convert your Normal Image to a SKETCHED one within a minute
This Web App lets you convert your Normal Image to a SKETCHED one within a minute
PyTorch implementation of SIFT descriptor
This is an differentiable pytorch implementation of SIFT patch descriptor. It is very slow for describing one patch, but quite fast for batch. It can
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
GPT2-Pytorch with Text-Generator Better Language Models and Their Implications Our model, called GPT-2 (a successor to GPT), was trained simply to pre
Adversarial Framework for (non-) Parametric Image Stylisation Mosaics
Fully Adversarial Mosaics (FAMOS) Pytorch implementation of the paper "Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Imag
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
English | 简体中文 | 繁體中文 State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained mo
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
Deepvoice3_pytorch PyTorch implementation of convolutional networks-based text-to-speech synthesis models: arXiv:1710.07654: Deep Voice 3: Scaling Tex
StarGAN - Official PyTorch Implementation (CVPR 2018)
StarGAN - Official PyTorch Implementation ***** New: StarGAN v2 is available at https://github.com/clovaai/stargan-v2 ***** This repository provides t
CropImage is a simple toolkit for image cropping, detecting and cropping main body from pictures.
CropImage is a simple toolkit for image cropping, detecting and cropping main body from pictures. Support face and saliency detection.
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
PyPixelArt - A keyboard-centered pixel editor
PyPixelArt - A keyboard-centered pixel editor The idea behind PyPixelArt is uniting: a cmdpxl inspired pixel image editor applied to pixel art. vim 's
An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"
Retina Blood Vessels Segmentation This is an implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional
Labelling platform for text using distant supervision
With DataQA, you can label unstructured text documents using rule-based distant supervision.
Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
Dynamic Attentive Graph Learning for Image Restoration This repository is for GATIR introduced in the following paper: Chong Mou, Jian Zhang, Zhuoyuan
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
CLIP-Guided-Diffusion Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab. Original colab notebooks by Ka
Easy to use Python module to extract Exif metadata from digital image files.
Easy to use Python module to extract Exif metadata from digital image files.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V
Image-to-Image Translation in PyTorch
CycleGAN and pix2pix in PyTorch New: Please check out contrastive-unpaired-translation (CUT), our new unpaired image-to-image translation model that e
Fast Neural Style for Image Style Transform by Pytorch
FastNeuralStyle by Pytorch Fast Neural Style for Image Style Transform by Pytorch This is famous Fast Neural Style of Paper Perceptual Losses for Real
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
A PyTorch implementation of V-Net Vnet is a PyTorch implementation of the paper V-Net: Fully Convolutional Neural Networks for Volumetric Medical Imag
A PyTorch Implementation of Single Shot MultiBox Detector
SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragom
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
pix2pix-pytorch PyTorch implementation of Image-to-Image Translation Using Conditional Adversarial Networks. Based on pix2pix by Phillip Isola et al.
This implements one of result networks from Large-scale evolution of image classifiers
Exotic structured image classifier This implements one of result networks from Large-scale evolution of image classifiers by Esteban Real, et. al. Req
Official implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
CrossViT This repository is the official implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ArXiv If
A Domain Specific Language (DSL) for building language patterns. These can be later compiled into spaCy patterns, pure regex, or any other format
RITA DSL This is a language, loosely based on language Apache UIMA RUTA, focused on writing manual language rules, which compiles into either spaCy co
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
Multilingual Latent Dirichlet Allocation (LDA) Pipeline This project is for text clustering using the Latent Dirichlet Allocation (LDA) algorithm. It
Accurately generate all possible forms of an English word e.g "election" -- "elect", "electoral", "electorate" etc.
Accurately generate all possible forms of an English word Word forms can accurately generate all possible forms of an English word. It can conjugate v
The tool to make NLP datasets ready to use
chazutsu photo from Kaikado, traditional Japanese chazutsu maker chazutsu is the dataset downloader for NLP. import chazutsu r = chazutsu.data
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
TextAttack 🐙 Generating adversarial examples for NLP models [TextAttack Documentation on ReadTheDocs] About • Setup • Usage • Design About TextAttack
The friendly PIL fork (Python Imaging Library)
Pillow Python Imaging Library (Fork) Pillow is the friendly PIL fork by Alex Clark and Contributors. PIL is the Python Imaging Library by Fredrik Lund
Kornia is a open source differentiable computer vision library for PyTorch.
Open Source Differentiable Computer Vision Library
Django library to simplify payment processing with pin
Maintainer Wanted I no longer have any side projects that use django-pinpayments and I don't have the time or headspace to maintain an important proje
Django helper application to easily and non-destructively crop arbitrarily large images in admin and frontend.
django-image-cropping django-image-cropping is an app for cropping uploaded images via Django's admin backend using Jcrop. Screenshot: django-image-cr
Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.
Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)
Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer This repository contains the PyTorch code for Evo-ViT. This work proposes a slow-fas
The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"
The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"
The code for the NSDI'21 paper "BMC: Accelerating Memcached using Safe In-kernel Caching and Pre-stack Processing".
BMC The code for the NSDI'21 paper "BMC: Accelerating Memcached using Safe In-kernel Caching and Pre-stack Processing". BibTex entry available here. B
Python TFLite scripts for detecting objects of any class in an image without knowing their label.
Python TFLite scripts for detecting objects of any class in an image without knowing their label.
Python Tensorflow 2 scripts for detecting objects of any class in an image without knowing their label.
Tensorflow-Mobile-Generic-Object-Localizer Python Tensorflow 2 scripts for detecting objects of any class in an image without knowing their label. Ori
An flask app for fake image detector
fake_img_detector This is a ml based project: frameworks used:- Flask Google collab #Description: Here you can Upload two different looking image with
Segmentation for medical image.
EfficientSegmentation Introduction EfficientSegmentation is an open source, PyTorch-based segmentation framework for 3D medical image. Features A whol
File and Image Management Application for django
Django Filer django Filer is a file management application for django that makes handling of files and images a breeze. Contributing This is a an open
Automated image processing for Django. Currently v4.0
ImageKit is a Django app for processing images. Need a thumbnail? A black-and-white version of a user-uploaded image? ImageKit will make them for you.
A package to handle images in django
Django Image Tools Django Image Tools is a small app that will allow you to manage your project's images without worrying much about image sizes, how
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction [arXiv] [Project Page] @inproceedings{ huang2021fapn, title={{FaPN}: Feature-alig
Natural Language Processing with transformers
we want to create a repo to illustrate usage of transformers in chinese
A collection of SOTA Image Classification Models in PyTorch
A collection of SOTA Image Classification Models in PyTorch
The implementation of 'Image synthesis via semantic composition'.
Image synthesis via semantic synthesis [Project Page] by Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia. Introduction This repository gives
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Unique image & metadata generation using weighted layer collections.
nft-generator-py nft-generator-py is a python based NFT generator which programatically generates unique images using weighted layer files. The progra
[ICCV 2021] Official Tensorflow Implementation for "Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions"
KPAC: Kernel-Sharing Parallel Atrous Convolutional block This repository contains the official Tensorflow implementation of the following paper: Singl
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
Learning Opinion Summarizers by Selecting Informative Reviews This repository contains the codebase and the dataset for the corresponding EMNLP 2021
Vehicle Detection Using Deep Learning and YOLO Algorithm
VehicleDetection Vehicle Detection Using Deep Learning and YOLO Algorithm Dataset take or find vehicle images for create a special dataset for fine-tu
Code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".
This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".
Point cloud processing tool library.
Point Cloud ToolBox This point cloud processing tool library can be used to process point clouds, 3d meshes, and voxels. Environment python 3.7.5 Dep
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
ROSITA News & Updates (24/08/2021) Release the demo to perform fine-grained semantic alignments using the pretrained ROSITA model. (15/08/2021) Releas
Learn how to responsibly deliver value with ML.
Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit
[ICCV2021] IICNet: A Generic Framework for Reversible Image Conversion
IICNet - Invertible Image Conversion Net Official PyTorch Implementation for IICNet: A Generic Framework for Reversible Image Conversion (ICCV2021). D
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Home | PyTorch BigGAN Discovery | TensorFlow ProGAN Regulariza
Augmenty is an augmentation library based on spaCy for augmenting texts.
Augmenty: The cherry on top of your NLP pipeline Augmenty is an augmentation library based on spaCy for augmenting texts. Besides a wide array of high
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Goddard Image Analysis and Navigation Tool
Copyright 2021 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. No copyright is clai
Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and feature-level quality metrics such as FID, IS. It can be used for evaluating image denoising, colorization, inpainting, deraining, dehazing etc. where we have access to ground truth.
Image Quality Evaluation Metrics Implementation of some common full reference image quality metrics. The repo is built based on full reference image q
【Arxiv】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution
SANet Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution Dependencies numpy==1.18.5 scikit_image==0.16.2 torchvision==0.8.1 to
🌌 A Python script to generate blog banners from command line.
Auto Blog Banner Generator A Python script to generate blog banners. This script is used at RavSam. The following image is an example of the blog bann
Advance Image Downloader/Extractor (Job) is a Python-Flask web-based app, which will help the user download the any kind of Images at any date and time over the internet. These images will get downloaded as a job and then let user know that the images have been downloaded by sending them a link over an email.
Advance Image Downloader/Extractor(Job) Advance Image Downloader/Extractor (Job) is a Python-Flask web-based app, which will help the user download th
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation The code of: Cross-Image Region Mining with Region Proto
PyTorch Implementation of "Light Field Image Super-Resolution with Transformers"
LFT PyTorch implementation of "Light Field Image Super-Resolution with Transformers", arXiv 2021. [pdf]. Contributions: We make the first attempt to a
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt. This is done by
Codebase for Diffusion Models Beat GANS on Image Synthesis.
Codebase for Diffusion Models Beat GANS on Image Synthesis.
Telegram bot to extract text from image
OCR Bot @Image_To_Text_OCR_Bot A star ⭐ from you means a lot to us! Telegram bot to extract text from image Usage Deploy to Heroku Tap on above button
Repository for Graph2Pix: A Graph-Based Image to Image Translation Framework
Graph2Pix: A Graph-Based Image to Image Translation Framework Installation Install the dependencies in env.yml $ conda env create -f env.yml $ conda a
basic tool for NFT. let's spam, this is the easiest way to generate a hell lotta image
NFT generator this is the easiest way to generate a hell lotta image buckle up and follow me! how to first have your image in .png (transparent backgr
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding".
BanglaBERT This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced i
[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers
Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021. Abstract Instance-level image retriev
Document processing using transformers
Doc Transformers Document processing using transformers. This is still in developmental phase, currently supports only extraction of form data i.e (ke
Knock your images before these make you painful.
image-knocker Knock your images before these make you painful. Background One day, I had run my deep learning model training program and got off work
Optimized code based on M2 for faster image captioning training
Transformer Captioning This repository contains the code for Transformer-based image captioning. Based on meshed-memory-transformer, we further optimi
neural image generation
pixray Pixray is an image generation system. It combines previous ideas including: Perception Engines which uses image augmentation and iteratively op
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.
This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali-English machine translation". It is intended to be used for normalizing / cleaning Bengali and English text.
normalizer This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch
PIZZA - a task-oriented semantic parsing dataset
The PIZZA dataset continues the exploration of task-oriented parsing by introducing a new dataset for parsing pizza and drink orders, whose semantics cannot be captured by flat slots and intents.
📷 Python package and CLI utility to create photo mosaics.
📷 Python package and CLI utility to create photo mosaics.
LGVL helper script to batch and convert with lvgl offline image converter
script to batch and convert with lvgl offline image converter
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
img2dataset Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. Also supports
✨Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.
✨A Python framework to explore, label, and monitor data for NLP projects
Reading list for research topics in sound event detection
Sound event detection aims at processing the continuous acoustic signal and converting it into symbolic descriptions of the corresponding sound events present at the auditory scene.
"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021
Texformer: 3D Human Texture Estimation from a Single Image with Transformers This is the official implementation of "3D Human Texture Estimation from
ICCV2021 - Mining Contextual Information Beyond Image for Semantic Segmentation
Introduction The official repository for "Mining Contextual Information Beyond Image for Semantic Segmentation". Our full code has been merged into ss
A scalable implementation of WobblyStitcher for 3D microscopy images
WobblyStitcher Introduction A scalable implementation of WobblyStitcher Dependencies $ python -m pip install numpy scikit-image Visualization ImageJ
Image Captioning using CNN and Transformers
Image-Captioning Keras/Tensorflow Image Captioning application using CNN and Transformer as encoder/decoder. In particulary, the architecture consists
TorchIO is a Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
Medical image preprocessing and augmentation toolkit for deep learning. Part of the PyTorch Ecosystem.
pedalboard is a Python library for adding effects to audio.
pedalboard is a Python library for adding effects to audio. It supports a number of common audio effects out of the box, and also allows the use of VST3® and Audio Unit plugin formats for third-party effects.
fishington.io bot with OpenCV and NumPy
fishington.io-bot fishington.io bot with using OpenCV and NumPy bot can continue to fishing fully automatically how to use Open cmd in fishington.io-b
An image inline search telegram bot.
Image-Search-Bot An image inline search telegram bot. Note: Use Telegram picture bot. That is better. Not recommending to deploy this bot. Made with P
A Python interface between Earth Engine and xarray for processing weather and climate data
wxee What is wxee? wxee was built to make processing gridded, mesoscale time series weather and climate data quick and easy by integrating the data ca
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
About This repository provides data and code for the paper: Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development (subm