1707 Repositories
Python text-semantic-similarity Libraries
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at http://www.cs.cmu.edu/~aayushb/pixelNet/.
PixelNet: Representation of the pixels, by the pixels, and for the pixels. We explore design principles for general pixel-level prediction problems, f
Dilated Convolution for Semantic Image Segmentation
Multi-Scale Context Aggregation by Dilated Convolutions Introduction Properties of dilated convolution are discussed in our ICLR 2016 conference paper
Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation: Work In Progress, Results can't be replicated yet with the m
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.
FC-DenseNet-Tensorflow This is a re-implementation of the 100 layer tiramisu, technically a fully convolutional DenseNet, in TensorFlow (Tiramisu). Th
Fully Convolutional DenseNets for semantic segmentation.
Introduction This repo contains the code to train and evaluate FC-DenseNets as described in The One Hundred Layers Tiramisu: Fully Convolutional Dense
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
segmentation TensorFlow implementation of ENet (https://arxiv.org/pdf/1606.02147.pdf) based on the official Torch implementation (https://github.com/e
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.
ENet This work has been published in arXiv: ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. Packages: train contains too
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
ENet in Caffe Execution times and hardware requirements Network 1024x512 1280x720 Parameters Model size (fp32) ENet 20.4 ms 32.9 ms 0.36 M 1.5 MB SegN
A TensorFlow implementation of FCN-8s
FCN-8s implementation in TensorFlow Contents Overview Examples and demo video Dependencies How to use it Download pre-trained VGG-16 Overview This is
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
semantic-segmentation-tensorflow This is a Tensorflow implementation of semantic segmentation models on MIT ADE20K scene parsing dataset and Cityscape
Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset
Using fully convolutional networks for semantic segmentation (Shelhamer et al.) with caffe for the cityscapes dataset How to get started Download the
Fully convolutional networks for semantic segmentation
FCN-semantic-segmentation Simple end-to-end semantic segmentation using fully convolutional networks [1]. Takes a pretrained 34-layer ResNet [2], remo
Pytorch for Segmentation
Pytorch for Semantic Segmentation This repo has been deprecated currently and I will not maintain it. Meanwhile, I strongly recommend you can refer to
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
fcn - Fully Convolutional Networks Chainer implementation of Fully Convolutional Networks. Installation pip install fcn Inference Inference is done as
A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation
##A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation. #USAGE To run the trained classifier on some images: python w
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation
FCN.tensorflow Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (FCNs). The implementation is largely based on the
FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation
FCN_via_Keras FCN FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation. This
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
Keras-FCN Fully convolutional networks and semantic segmentation with Keras. Models Models are found in models.py, and include ResNet and DenseNet bas
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Fully Convolutional Networks for Semantic Segmentation This is the reference implementation of the models and code for the fully convolutional network
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
DeepLab with PyTorch This is an unofficial PyTorch implementation of DeepLab v2 [1] with a ResNet-101 backbone. COCO-Stuff dataset [2] and PASCAL VOC
PyTorch Implementations for DeeplabV3 and PSPNet
Pytorch-segmentation-toolbox DOC Pytorch code for semantic segmentation. This is a minimal code to run PSPnet and Deeplabv3 on Cityscape dataset. Shor
Train DeepLab for Semantic Image Segmentation
Train DeepLab for Semantic Image Segmentation Martin Kersner, [email protected] This repository contains scripts for training DeepLab for Semantic I
This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset.
DeepLab-ResNet-TensorFlow This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset. Up
DeepLab-ResNet rebuilt in TensorFlow
DeepLab-ResNet-TensorFlow This is an (re-)implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation on the PASCAL VOC dataset. Fr
DeepLab is a state-of-art deep learning system for semantic image segmentation built on top of Caffe.
DeepLab Introduction DeepLab is a state-of-art deep learning system for semantic image segmentation built on top of Caffe. It combines densely-compute
SegNet including indices pooling for Semantic Segmentation with tensorflow and keras
SegNet SegNet is a model of semantic segmentation based on Fully Comvolutional Network. This repository contains the implementation of learning and te
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
Caffe SegNet This is a modified version of Caffe which supports the SegNet architecture As described in SegNet: A Deep Convolutional Encoder-Decoder A
Semantic segmentation models, datasets and losses implemented in PyTorch.
Semantic Segmentation in PyTorch Semantic Segmentation in PyTorch Requirements Main Features Models Datasets Losses Learning rate schedulers Data augm
Real-Time Semantic Segmentation in Mobile device
Real-Time Semantic Segmentation in Mobile device This project is an example project of semantic segmentation for mobile real-time app. The architectur
Live coding in Python with PyCharm, Emacs, Sublime Text, or even a browser
Live Coding in Python Visualize your Python code while you type it in PyCharm, Emacs, Sublime Text, or even your browser. To see how to use one of the
Keyword-BERT: Keyword-Attentive Deep Semantic Matching
project discription An implementation of the Keyword-BERT model mentioned in my paper Keyword-Attentive Deep Semantic Matching (Plz cite this github r
Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module.
Import Subtitles for Blender VSE Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module. Supported formats by py
filetailor is a peer-based configuration management utility for plain-text files such as dotfiles.
filetailor filetailor is a peer-based configuration management utility for plain-text files (and directories) such as dotfiles. Files are backed up to
TextStatistics - Get a text file wich contains English text
TextStatistics This program get a text file wich contains English text. The program analyses the text, and print some information. For this program I
pdf_sprinkles: sprinkles text in your PDFs
pdf_sprinkles: sprinkles text in your PDFs pdf_sprinkles remotely OCRs a PDF with Google Cloud Document AI, and returns the result as a PDF with searc
Convert text to morse code and play morse code sound.
Convert text(english) to morse codes and play morse sound!
This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text.
Text Summarizer This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text. Team Members This mini-project was
A python library for writing parser-based interactive fiction.
About IntFicPy A python library for writing parser-based interactive fiction. Currently in early development. IntFicPy Docs Parser-based interactive f
A Python port and library-fication of the midicsv tool by John Walker.
A Python port and library-fication of the midicsv tool by John Walker. If you need to convert MIDI files to human-readable text files and back, this is the library for you.
ChirpText is a collection of text processing tools for Python 3.
ChirpText is a collection of text processing tools for Python 3. It is not meant to be a powerful tank like the popular NTLK but a small package which
Facial Image Inpainting with Semantic Control
Facial Image Inpainting with Semantic Control In this repo, we provide a model for the controllable facial image inpainting task. This model enables u
Utility for Text Normalisation or Inverse Normalisation
Text Processor Text Normalisation or Inverse Normalisation for Indonesian, e.g. measurements "123 kg" - "seratus dua puluh tiga kilogram" Currency/Mo
Uses Google's gTTS module to easily create robo text readin' on command.
Tool to convert text to speech, creating files for later use. TTRS uses Google's gTTS module to easily create robo text readin' on command.
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences forImage-Text Retrieval
NSGDC Some codes in this repo are copied/modified from opensource implementations made available by UNITER, PyTorch, HuggingFace, OpenNMT, and Nvidia.
Contextual Attention Localization for Offline Handwritten Text Recognition
CALText This repository contains the source code for CALText model introduced in "CALText: Contextual Attention Localization for Offline Handwritten T
The repository for our EMNLP 2021 paper "Finnish Dialect Identification: The Effect of Audio and Text"
Finnish Dialect Identification The repository for our EMNLP 2021 paper "Finnish Dialect Identification: The Effect of Audio and Text". We present a te
Meta-TTS: Meta-Learning for Few-shot SpeakerAdaptive Text-to-Speech
Meta-TTS: Meta-Learning for Few-shot SpeakerAdaptive Text-to-Speech This repository is the official implementation of "Meta-TTS: Meta-Learning for Few
Grounding Representation Similarity with Statistical Testing
Grounding Representation Similarity with Statistical Testing This repo contains code to replicate the results in our paper, which evaluates representa
Azure Neural Speech Service TTS
Written in Python using the Azure Speech SDK. App.py provides an easy way to create an Text-To-Speech request to Azure Speech and download the wav file. Azure Neural Voices Text-To-Speech enables fluid, natural-sounding text to speech that matches the patterns and intonation of human voices.
Wikipedia Extractive Text Summarizer + Keywords Identification (entropy-based)
Wikipedia Extractive Text Summarizer + Keywords Identification (entropy-based)Wikipedia Extractive Text Summarizer + Keywords Identification (entropy-based)
The aim of this task is to predict someone's English proficiency based on a text input.
English_proficiency_prediction_NLP The aim of this task is to predict someone's English proficiency based on a text input. Using the The NICT JLE Corp
Obsei is a low code AI powered automation tool.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
A telegram bot help you to get stylish fonts and text
Stylish Font Bot 🐿 This is a telegram bot help you to get stylish fonts and text. Config Vars 🤖 API_HASH: Get this value from my.telegram.org. API_K
STRIVE: Scene Text Replacement In Videos
STRIVE: Scene Text Replacement In Videos Dataset Types: RoboText SynthText RealWorld videos RoboText : Videos of texts collected using navigation robo
TextBPN Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
TextBPN Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection; Accepted by ICCV2021. Note: The complete code (including training and t
Multi-View Radar Semantic Segmentation
Multi-View Radar Semantic Segmentation Paper Multi-View Radar Semantic Segmentation, ICCV 2021. Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Flore
Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation (ICCV 2021) [中文|EN] 概述 本工作主要探索一种高效的多传感器(激光雷达和摄像头)融合点云语义分割方法。现有的多传感器融合方法主要将点云投影
This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation" (ICCV 2021).
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation This is the code relat
[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot Segmentation Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. This codebase contains baseline of our paper Mini
(ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.
DARS Code release for the paper "Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation", ICCV 2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)
Multi-Anchor Active Domain Adaptation for Semantic Segmentation Munan Ning*, Donghuan Lu*, Dong Wei†, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Y
Code for the ICCV2021 paper "Personalized Image Semantic Segmentation"
PSS: Personalized Image Semantic Segmentation Paper PSS: Personalized Image Semantic Segmentation Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming
[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
ICCV2021 Papers with Code
ICCV2021 Papers with Code
Add your new words to a text file and get them randomly.
Memorize-New-Words In this very very very little project, I've wrote a code to memorize new english words. Therefore you can add the words and their m
PyCrypter , A Tool To Encrypt/Decrypt Text/Code With Ease And Safe Using Password !
PyCrypter PyCrypter , A Tool To Encrypt/Decrypt Text/Code With Ease And Safe Using Password ! Requirements pyfiglet And colorama Usage First Clone The
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
Improving Factual Consistency of Abstractive Text Summarization
Improving Factual Consistency of Abstractive Text Summarization We provide the code for the papers: "Entity-level Factual Consistency of Abstractive T
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
An open-source NLP library: fast text cleaning and preprocessing.
An open-source NLP library: fast text cleaning and preprocessing
Chinese Advertisement Board Identification(Pytorch)
Chinese-Advertisement-Board-Identification. We use YoloV5 to extract the ROI of the location of the chinese word. Next, we sort the bounding box and recognize every chinese words which we extracted. The methods which we use are Yolov5, ArgMargin and Focal loss.
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network Paddle-PANet 目录 结果对比 论文介绍 快速安装 结果对比 CTW1500 Method Backbone Fine
Document blur detection based on Laplacian operator and text detection.
Document Blur Detection For general blurred image, using the variance of Laplacian operator is a good solution. But as for the blur detection of docum
Python App To Encrypt Data (image, text, all data)
Python App To Encrypt Data (image, text, all data)
A python tool to convert Bangla Bijoy text to Unicode text.
Unicode Converter A python tool to convert Bangla Bijoy text to Unicode text. Installation Unicode Converter can be installed via PyPi. Make sure pip
Cryptocurrency application that displays instant cryptocurrency prices and reads prices with the Google Text-to-Speech library.
📈 Cryptocurrency Price App 💰 ◽ Cryptocurrency application that displays instant cryptocurrency prices and reads prices with the Google Text-to-Speec
Ukrainian TTS (text-to-speech) using Coqui TTS
title emoji colorFrom colorTo sdk app_file pinned Ukrainian TTS 🐸 green green gradio app.py false Ukrainian TTS 📢 🤖 Ukrainian TTS (text-to-speech)
A GUI love Calculator which saves all the User Data in text file(sql based script will be uploaded soon). Interative GUI. Even For Admin Panel
Love-Calculator A GUI love Calculator which saves all the User Data in text file(sql based script will be uploaded soon). Interative GUI, even For Adm
On-device speech-to-index engine powered by deep learning.
On-device speech-to-index engine powered by deep learning.
Text Classification Using LSTM
Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can be organized by sentiment, and so on.
Unlimited Call - Text Bombing Tool
FastBomber Unlimited Call - Text Bombing Tool Installation On Termux
Tool which allow you to detect and translate text.
Text detection and recognition This repository contains tool which allow to detect region with text and translate it one by one. Description Two pretr
This is a text summarizing tool written in Python
Summarize Written by: Ling Li Ya This is a text summarizing tool written in Python. User Guide Some things to note: The application is accessible here
Python module and its web equivalent, to hide text within text by manipulating bits
cacherdutexte.github.io This project contains : Python modules (binary and decimal system 6) with a dedicated tkinter program to use it. A web version
A pytorch-based real-time segmentation model for autonomous driving
CFPNet: Channel-Wise Feature Pyramid for Real-Time Semantic Segmentation This project contains the Pytorch implementation for the proposed CFPNet: pap
Official implementations of PSENet, PAN and PAN++.
News (2021/11/03) Paddle implementation of PAN, see Paddle-PANet. Thanks @simplify23. (2021/04/08) PSENet and PAN are included in MMOCR. Introduction
Caboto, the Kubernetes semantic analysis tool
Caboto Caboto, the Kubernetes semantic analysis toolkit. It contains a lightweight Python library for semantic analysis of plain Kubernetes manifests
Emo-Fun is a bot which emojifies the text you send it
About Emo-Fun is a bot which emojifies the text you send it. It is easier to understand by an example Input : Hey this is to show my working!! Output
openBrowsser is a Sublime Text plug-in, which allows you to add a keyboard shortcut, to directly access a website from a selection.
openBrowsser is a Sublime Text plug-in, which allows you to add a keyboard shortcut, to directly access a website from a selection. Instal
Blender 3.0 Python - Open temporary areas in the Text Editor
PopDrawers When editing text in Blender, it can be handy to have areas like Info, Console, Outliner, etc visible on screen to help with scripting. How
A simple pytorch pipeline for semantic segmentation.
SegmentationPipeline -- Pytorch A simple pytorch pipeline for semantic segmentation. Requirements : torch=1.9.0 tqdm albumentations=1.0.3 opencv-pyt
Keyword2Text This repository contains the code of the paper: "A Plug-and-Play Method for Controlled Text Generation"
Keyword2Text This repository contains the code of the paper: "A Plug-and-Play Method for Controlled Text Generation", if you find this useful and use
STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 and 2017. The selection of datasets include text from image captions, news headlines and user forums.
stsb_multi_mt_en STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 an
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity Indic TTS Samples can be found at https://peter-yh-wu.github.io/cross-
Repository for the semantic WMI loss
Installation: pip install -e . Installing DL2: First clone DL2 in a separate directory and install it using the following commands: git clone https:/
[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation
K-Net: Towards Unified Image Segmentation Introduction This is an official release of the paper K-Net:Towards Unified Image Segmentation. K-Net will a
a simple function that randomly generates and applies console text colors
ChangeConsoleTextColour a simple function that randomly generates and applies console text colors This repository corresponds to my Python Functions f
These scripts look for non-printable unicode characters in all text files in a source tree
find-unicode-control These scripts look for non-printable unicode characters in all text files in a source tree. find_unicode_control.py should work w
Installation, test and evaluation of Scribosermo speech-to-text engine
Scribosermo STT Setup Scribosermo is a LGPL licensed, open-source speech recognition engine to "Train fast Speech-to-Text networks in different langua
This is a text-based snake and ladder game .
This is a text-based snake and ladder game .