2378 Repositories
Python napari-cupy-image-processing Libraries
UniSpeech - Large Scale Self-Supervised Learning for Speech
UniSpeech The family of UniSpeech: UniSpeech (ICML 2021): Unified Pre-training for Self-Supervised Learning and Supervised Learning for ASR UniSpeech-
GraPE is a Rust/Python library for high-performance Graph Processing and Embedding.
GraPE GraPE (Graph Processing and Embedding) is a fast graph processing and embedding library, designed to scale with big graphs and to run on both of
Code for the preprint "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
This is a repository for the paper of "Well-classified Examples are Underestimated in Classification with Deep Neural Networks" The implementation and
Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"
DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit
Breaking the Dilemma of Medical Image-to-image Translation
Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field
A fast implementation of bss_eval metrics for blind source separation
fast_bss_eval Do you have a zillion BSS audio files to process and it is taking days ? Is your simulation never ending ? Fear no more! fast_bss_eval i
This is an official pytorch implementation of Fast Fourier Convolution.
Fast Fourier Convolution (FFC) for Image Classification This is the official code of Fast Fourier Convolution for image classification on ImageNet. Ma
A high-level Python library for Quantum Natural Language Processing
lambeq About lambeq is a toolkit for quantum natural language processing (QNLP). Documentation: https://cqcl.github.io/lambeq/ Getting started Prerequ
Breaking the Dilemma of Medical Image-to-image Translation
Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field
question‘s area recognition using image processing and regular expression
======================================== Paper-Question-recognition ======================================== question‘s area recognition using image p
Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"
DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit
Using Selenium with Python to Web Scrap Popular Youtube Tech Channels.
Web Scrapping Popular Youtube Tech Channels with Selenium Data Mining, Data Wrangling, and Exploratory Data Analysis About the Data Web scrapi
African language Speech Recognition - Speech-to-Text
Swahili-Speech-To-Text Table of Contents Swahili-Speech-To-Text Overview Scenario Approach Project Structure data: models: notebooks: scripts tests: l
TCube generates rich and fluent narratives that describes the characteristics, trends, and anomalies of any time-series data (domain-agnostic) using the transfer learning capabilities of PLMs.
TCube: Domain-Agnostic Neural Time series Narration This repository contains the code for the paper: "TCube: Domain-Agnostic Neural Time series Narrat
A brand new hub for Scene Graph Generation methods based on MMdetection (2021). The pipeline of from detection, scene graph generation to downstream tasks (e.g., image cpationing) is supported. Pytorch version implementation of HetH (ECCV 2020) and TopicSG (ICCV 2021) is included.
MMSceneGraph Introduction MMSceneneGraph is an open source code hub for scene graph generation as well as supporting downstream tasks based on the sce
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer A novel graph neural network (GNN) based model (termed SlideGraph+
This is a simple bot that can be used to upload images to a third-party cloud (image hosting). Currently, only the imgbb.com website supports the bot. I Will do future updates
TGImageHosting This is a simple bot that can be used to upload images to a third party cloud (image hosting). Currently, only the imgbb.com website su
A high-level Python library for Quantum Natural Language Processing
lambeq About lambeq is a toolkit for quantum natural language processing (QNLP). Documentation: https://cqcl.github.io/lambeq/ Getting started Prerequ
GAN-generated image detection based on CNNs
GAN-image-detection This repository contains a GAN-generated image detector developed to distinguish real images from synthetic ones. The detector is
🎶😤 Generate an image indicating what you are listening to 😳
I'm Listening to This (song that I've sent you an image about detailing its metadata in a nifty way) Few lines describing your project. 📝 Table of Co
Generates a random prnt.sc link and display image.
Generates a random prnt.sc link and display image.
It is a image ocr tool using the Tesseract-OCR engine with the pytesseract package and has a GUI.
OCR-Tool It is a image ocr tool made in Python using the Tesseract-OCR engine with the pytesseract package and has a GUI. This is my second ever pytho
TorchOk - The toolkit for fast Deep Learning experiments in Computer Vision
TorchOk - The toolkit for fast Deep Learning experiments in Computer Vision
Simple image captioning model - CLIP prefix captioning.
Simple image captioning model - CLIP prefix captioning.
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
A simple command for converting and processing data from your clipboard.
A generic text conversion/processing tool
BPEmb is a collection of pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) and trained on Wikipedia.
BPEmb is a collection of pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) and trained on Wikipedia. Its intended use is as input for neural models in natural language processing.
Docbarcodes extracts 1D and 2D barcodes from scanned PDF documents or images. It can be used to automate extraction and processing of all kind of documents.
Intro Barcodes are being used in many documents or forms to enable machine reading capabilities and reduce manual processing effort. Simple 1D barcode
Code for classifying international patents based on the text of their titles/abstracts
Patent Classification Goal: To train a machine learning classifier that can automatically classify international patents downloaded from the WIPO webs
Simple PoC script that allows you to exploit telegram's "send with timer" feature by saving any media sent with this functionality.
Simple PoC script that allows you to exploit telegram's "send with timer" feature by saving any media sent with this functionality.
A (very dirty) experiment to remove layers from a Docker image.
Surgically remove layers from a Docker image (with a chainsaw)
Image Detector and Convertor App created using python's Pillow, OpenCV, cvlib, numpy and streamlit packages.
Image Detector and Convertor App created using python's Pillow, OpenCV, cvlib, numpy and streamlit packages.
An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.
An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.
This tool allows the user to convert a 16 by 16 image into a list with numbers representing an object/character.
Room Formatter This tool allows the user to convert a 16 by 16 image into a list with numbers representing an object/character. There is cur
Nanosensor Image Processor (NanoImgPro), a python-based image analysis tool for dopamine nanosensors
NanoImgPro Nanosensor Image Processor (NanoImgPro), a python-based image analysis tool for dopamine nanosensors NanoImgPro.py contains the main class
Open-Source Python CLI package for copying DynamoDB tables and items in parallel batch processing + query natural & Global Secondary Indexes (GSIs)
Python Command-Line Interface Package to copy Dynamodb data in parallel batch processing + query natural & Global Secondary Indexes (GSIs).
Google's Meena transformer chatbot implementation
Here's my attempt at recreating Meena, a state of the art chatbot developed by Google Research and described in the paper Towards a Human-like Open-Domain Chatbot.
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
Mesh Graphormer is a new transformer-based method for human pose and mesh reconsruction from an input image
MeshGraphormer ✨ ✨ This is our research code of Mesh Graphormer. Mesh Graphormer is a new transformer-based method for human pose and mesh reconsructi
A set of examples around hub for creating and processing datasets
Examples for Hub - Dataset Format for AI A repository showcasing examples of using Hub Uploading Dataset Places365 Colab Tutorials Notebook Link Getti
TRREASURE_IMAGE is python lib by which you can hide anything in a .jpg image with Command-Line Interface[cli] feature
TRREASURE_IMAGE TRREASURE_IMAGE is a python third-party library with Command-Line Interface[cli] feature. Table of Contents General Info Python librar
Code for 'Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning', ICCV 2021
CMIC-Retrieval Code for Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. ICCV 2021. Introduction In this wo
Automatically resolve RidderMaster based on TensorFlow & OpenCV
AutoRiddleMaster Automatically resolve RidderMaster based on TensorFlow & OpenCV 基于 TensorFlow 和 OpenCV 实现的全自动化解御迷士小马谜题 Demo How to use Deploy the ser
Change your Windows background with this program safely & easily!
Background_Changer Table of Contents: About the Program Features Requirements Preview Credits Reach Me See Also About the Program: You can change your
Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"
GRAF This repository contains official code for the paper GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. You can find detailed usage i
PyTorch implementation of paper "IBRNet: Learning Multi-View Image-Based Rendering", CVPR 2021.
IBRNet: Learning Multi-View Image-Based Rendering PyTorch implementation of paper "IBRNet: Learning Multi-View Image-Based Rendering", CVPR 2021. IBRN
Blue noise image stippling in Processing (requires GPU)
Blue noise image stippling in Processing (requires GPU)
Python Image Morpher (PIM) is a program that can take two images and blend them to whatever extent or precision that you like
Python Image Morpher (PIM) is a program that can take two images and blend them to whatever extent or precision that you like! It is designed to emulate some of Python's OpenCV image processing from scratch without reference.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
A 3D multi-modal medical image segmentation library in PyTorch We strongly believe in open and reproducible deep learning research. Our goal is to imp
Real-Time Social Distance Monitoring tool using Computer Vision
Social Distance Detector A Real-Time Social Distance Monitoring Tool Table of Contents Motivation YOLO Theory Detection Output Tech Stack Functionalit
Transfer-Learn is an open-source and well-documented library for Transfer Learning.
Transfer-Learn is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms, or readily apply existing algorithms.
A Chinese to English Neural Model Translation Project
ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021) Jiaxi Jiang, Kai Zhang, Radu Timofte Computer Vision Lab, ETH Zurich, Switzerland 🔥
Fast batch image resizer and rotator for JPEG and PNG images.
imgp is a command line image resizer and rotator for JPEG and PNG images.
Paradigm Shift in NLP - "Paradigm Shift in Natural Language Processing".
Paradigm Shift in NLP Welcome to the webpage for "Paradigm Shift in Natural Language Processing". Some resources of the paper are constantly maintaine
CLIPort: What and Where Pathways for Robotic Manipulation
CLIPort CLIPort: What and Where Pathways for Robotic Manipulation Mohit Shridhar, Lucas Manuelli, Dieter Fox CoRL 2021 CLIPort is an end-to-end imitat
An official repository for Paper "Uformer: A General U-Shaped Transformer for Image Restoration".
Uformer: A General U-Shaped Transformer for Image Restoration Zhendong Wang, Xiaodong Cun, Jianmin Bao and Jianzhuang Liu Paper: https://arxiv.org/abs
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
GANimation: Anatomically-aware Facial Animation from a Single Image [Project] [Paper] Official implementation of GANimation. In this work we introduce
Differentiable architecture search for convolutional and recurrent networks
Differentiable Architecture Search Code accompanying the paper DARTS: Differentiable Architecture Search Hanxiao Liu, Karen Simonyan, Yiming Yang. arX
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Imbalanced Dataset Sampler Introduction In many machine learning applications, we often come across datasets where some types of data may be seen more
Display Images in your terminal with python
A python library to display images in the terminal
(ICCV 2021) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing."
Dressing in Order (DiOr) 👚 [Paper] 👖 [Webpage] 👗 [Running this code] The official implementation of "Dressing in Order: Recurrent Person Image Gene
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
PoseNet of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image" Introduction This repo is official Py
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
PyTorch Project Template is being sponsored by the following tool; please help to support us by taking a look and signing up to a free trial PyTorch P
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
DeepNLP-models-Pytorch Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ: NLP with Deep Learning) This is not for Pytorch be
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Table of Contents: Introduction to Torch's Tensor Library Computation Graphs and Automatic Differentiation Deep Learning Building Blocks: Affine maps,
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Book website | STAT 157 Course at UC Berkeley | Latest version
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Neural-Backed Decision Trees · Site · Paper · Blog · Video Alvin Wan, *Lisa Dunlap, *Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah
The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"
Website | ArXiv | Get Start | Video PIRenderer The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic
End-to-end image segmentation kit based on PaddlePaddle.
English | 简体中文 PaddleSeg PaddleSeg has released the new version including the following features: Our team won the AutoNUE@CVPR 2021 challenge, where
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Semi-supervised-learning-for-medical-image-segmentation. Recently, semi-supervised image segmentation has become a hot topic in medical image computin
bing image downloader app used to download bulk images for a specific search term created using streamlit and bing_image_downloader python packages
bing image downloader app bing image downloader app is used to download bulk images for a specific search term. bing image downloader app gets the sea
PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence) and pre-trained model on ImageNet dataset
Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin
I can help you convert your images to pdf file.
IMAGE TO PDF CONVERTER BOT Configs TOKEN - Get bot token from @BotFather API_ID - From my.telegram.org API_HASH - From my.telegram.org Deploy to Herok
SVG Icon processing tool for C++
BAWR This is a tool to automate the icons generation from sets of svg files into fonts and atlases. The main purpose of this tool is to add it to the
Convert the SVG code to PNG and replace the line by a call to the image in markdown
Convert the SVG code to PNG and replace the line by a call to the image in markdown
Combinatorial image generator for generative NFT art.
ImageGen Stitches multiple image layers together into one image. Run usage: stitch.py [-h] backgrounds_dir dinos_dir traits_dir texture_file
Create Fast and easy image datasets using reddit
Reddit-Image-Scraper Reddit Reddit is an American Social news aggregation, web content rating, and discussion website. Reddit has been devided by topi
Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification
About subwAI subwAI - a project for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation
Add filters (background blur, etc) to your webcam on Linux.
Add filters (background blur, etc) to your webcam on Linux.
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