2082 Repositories
Python text-analysis Libraries
Analyzing the most strategic words to guess on Wordle, based on letter frequency distributions
wordle-analysis Evaluating different heuristics to determine the most effective solving strategy and building an AI-powered assistant tool to help you
Implemented Exploratory Data Analysis (EDA) using Python.Built a dashboard in Tableau and found that 45.87% of People suffer from heart disease.
Heart_Disease_Diagnostic_Analysis Objective 🎯 The aim of this project is to use the given data and perform ETL and data analysis to infer key metrics
RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.
ruCLIP-SB RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and re
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)
Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr
A web app builds using streamlit API with python backend to analyze and pick insides from multiple data formats.
Data-Analysis-Web-App Data Analysis Web App can analysis data in multiple formates(csv, txt, xls, xlsx, ods, odt) and gives shows you the analysis in
This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transformer"
FlatTN This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transfor
Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
NANSY: Unofficial Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations Notice Papers' D
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Heart Arrhythmia Classification
This program takes and input of an ECG in European Data Format (EDF) and outputs the classification for heartbeats into normal vs different types of arrhythmia . It uses a deep learning model for classification purposes.
This repository contains (not all) code from my project on Named Entity Recognition in philosophical text
NERphilosophy 👋 Welcome to the github repository of my BsC thesis. This repository contains (not all) code from my project on Named Entity Recognitio
2 telegram-bots: for image recognition and for text generation
💻 📱 Telegram_Bots 🔎 & 📖 2 telegram-bots: for image recognition and for text generation. About Image recognition bot: User sends a photo and bot de
Recognizing the text contents from a scanned visiting card
Recognizing the text contents from a scanned visiting card. The application which is used to recognize the text from scanned images,printeddocuments,r
This repository serves as a place to document a toy attempt on how to create a generative text model in Catalan, based on GPT-2
GPT-2 Catalan playground and scripts to train a GPT-2 model either from scrath or from another pretrained model.
Python script for writing text on github contribution chart.
Github Contribution Drawer Python script for writing text on github contribution chart. Requirements Python 3.X Getting Started Create repository Put
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
Readme File for "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" by Ham, Imai, and Janson. (2022) All scripts were written and
A deep learning framework for historical document image analysis
DIVA-DAF Description A deep learning framework for historical document image analysis. How to run Install dependencies # clone project git clone https
A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".
Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y
For encoding a text longer than 512 tokens, for example 800. Set max_pos to 800 during both preprocessing and training.
LongScientificFormer For encoding a text longer than 512 tokens, for example 800. Set max_pos to 800 during both preprocessing and training. Some code
PyTorch implementation of an end-to-end Handwritten Text Recognition (HTR) system based on attention encoder-decoder networks
AttentionHTR PyTorch implementation of an end-to-end Handwritten Text Recognition (HTR) system based on attention encoder-decoder networks. Scene Text
Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices
EMOShip This repository contains the EMO-Film dataset described in the paper "Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis
PyTorch implementation of our paper How robust are discriminatively trained zero-shot learning models?
How robust are discriminatively trained zero-shot learning models? This repository contains the PyTorch implementation of our paper How robust are dis
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Prerequisites This repo is built upon a local copy of transfo
Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance companies
Insurance-Fraud-Claims Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance com
Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data
Statistical_Modelling Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data Statistical Methods for Decision Ma
Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning
Machine_Learning Election Exit Poll Prediction and U.S.A Presidential Speech Analysis using Machine Learning This project is based on 2 case-studies:
Final Project for Practical Python Programming and Algorithms for Data Analysis
Final Project for Practical Python Programming and Algorithms for Data Analysis (PHW2781L, Summer 2020) Redlining, Race-Exclusive Deed Restriction Lan
This pyhton script converts a pdf to Image then using tesseract as OCR engine converts Image to Text
Script_Convertir_PDF_IMG_TXT Este script de pyhton convierte un pdf en Imagen luego utilizando tesseract como motor OCR convierte la Imagen a Texto. p
Create animated and pretty Pandas Dataframe or Pandas Series
Rich DataFrame Create animated and pretty Pandas Dataframe or Pandas Series, as shown below: Installation pip install rich-dataframe Usage Minimal exa
This is a NLP based project to extract effective date of the contract from their text files.
Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is
Towards Fine-Grained Reasoning for Fake News Detection
FinerFact This is the PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection (Ar
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis
TweebankNLP This repo contains the new Tweebank-NER dataset and off-the-shelf Twitter-Stanza pipeline for state-of-the-art Tweet NLP, as described in
This repository contains the database and code used in the paper Embedding Arithmetic for Text-driven Image Transformation
This repository contains the database and code used in the paper Embedding Arithmetic for Text-driven Image Transformation (Guillaume Couairon, Holger
"Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion"(WWW 2021)
STAR_KGC This repo contains the source code of the paper accepted by WWW'2021. "Structure-Augmented Text Representation Learning for Efficient Knowled
SpyQL - SQL with Python in the middle
SpyQL SQL with Python in the middle Concept SpyQL is a query language that combines: the simplicity and structure of SQL with the power and readabilit
Postgres full text search options (tsearch, trigram) examples
postgres-full-text-search Postgres full text search options (tsearch, trigram) examples. Create DB CREATE DATABASE ftdb; To feed db with an example
Data-sets from the survey and analysis
bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele
Graph Analysis From Scratch
Graph Analysis From Scratch Goal In this notebook we wanted to implement some functionalities to analyze a weighted graph only by using algorithms imp
Data analysis and visualisation projects from a range of individual projects and applications
Python-Data-Analysis-and-Visualisation-Projects Data analysis and visualisation projects from a range of individual projects and applications. Python
Python scripts for semi-automated morphometric analysis of atolls from Landsat satellite Imagery.
AtollGeoMorph Python scripts for semi-automated morphometric analysis of atolls from Landsat satellite Imagery. The python scripts included allow user
Discord Bot that can translate your text, count and reply to your messages with a personalised text
Discord Bot that can translate your text, count and reply to your messages with a personalised text
CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning
CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning This repository contains the code and relevant instructions
CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs
CLIP [Blog] [Paper] [Model Card] [Colab] CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pair
STonKGs is a Sophisticated Transformer that can be jointly trained on biomedical text and knowledge graphs
STonKGs STonKGs is a Sophisticated Transformer that can be jointly trained on biomedical text and knowledge graphs. This multimodal Transformer combin
Simple and understandable swin-transformer OCR project
swin-transformer-ocr ocr with swin-transformer Overview Simple and understandable swin-transformer OCR project. The model in this repository heavily r
FairLens is an open source Python library for automatically discovering bias and measuring fairness in data
FairLens FairLens is an open source Python library for automatically discovering bias and measuring fairness in data. The package can be used to quick
Awesome Transformers in Medical Imaging
This repo supplements our Survey on Transformers in Medical Imaging Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat,
Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation
Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation The reference code of Improving Factual Completeness and C
This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
ICCV Workshop 2021 VTGAN This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.
Nobel Data Analysis
Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries
Analyze the Gravitational wave data stored at LIGO/VIRGO observatories
Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program
This project generates news headlines using a Long Short-Term Memory (LSTM) neural network.
News Headlines Generator bunnysaini/Generate-Headlines Goal This project aims to generate news headlines using a Long Short-Term Memory (LSTM) neural
Stanford CoreNLP provides a set of natural language analysis tools written in Java
Stanford CoreNLP Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and giv
Simple Text-To-Speech Bot For Discord
Simple Text-To-Speech Bot For Discord This is a very simple TTS bot for discord made with python. For this bot you need FFMPEG, see installation to se
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are statistical models that allow these properties to be simulated (Joe 2014). As such, copula generated data have shown potential to improve the generalization of machine learning (ML) emulators (Meyer et al. 2021) or anonymize real-data datasets (Patki et al. 2016).
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem
visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build
An curated collection of awesome resources about networking in cybersecurity
An ongoing curated collection of awesome software, libraries, frameworks, talks & videos, best practices, learning tutorials and important practical resources about networking in cybersecurity
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features | paper | Official PyTorch implementation for Mul
Feature engineering and machine learning: together at last
Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu
Perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites.
Sentiment Analyzer The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networ
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Python for Data Analysis, 2nd Edition
Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy
INF42 - Topological Data Analysis
TDA INF421(Conception et analyse d'algorithmes) Projet : Topological Data Analysis SphereMin Etant donné un nuage des points, ce programme contient de
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con
PROTEIN EXPRESSION ANALYSIS FOR DOWN SYNDROME
PROTEIN-EXPRESSION-ANALYSIS-FOR-DOWN-SYNDROME Down syndrome (DS) is a chromosomal disorder where organisms have an extra chromosome 21, sometimes know
Python Sreamlit Duplicate Records Finder Remover
Python-Sreamlit-Duplicate-Records-Finder-Remover Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom w
Klexikon: A German Dataset for Joint Summarization and Simplification
Klexikon: A German Dataset for Joint Summarization and Simplification Dennis Aumiller and Michael Gertz Heidelberg University Under submission at LREC
Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia
RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph
A python module to parse text files with contains secret variables.
A python module to parse text files with contains secret variables.
AIDynamicTextReader - A simple dynamic text reader based on Artificial intelligence
AI Dynamic Text Reader: This is a simple dynamic text reader based on Artificial
Tsar-Bot - Crypto auto trade bot that use sentiment analysis from twitter
Tsar Bot - Crypto Sentiment Bot Tsar Bot is a Twitter Crypto Sentiment Bot that
Blackstone is a spaCy model and library for processing long-form, unstructured legal text
Blackstone Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project f
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Grover is a model for Neural Fake News -- both generation and detectio
Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.
HairCLIP: Design Your Hair by Text and Reference Image
Overview This repository hosts the official PyTorch implementation of the paper: "HairCLIP: Design Your Hair by Text and Reference Image". Our single
TransVTSpotter: End-to-end Video Text Spotter with Transformer
TransVTSpotter: End-to-end Video Text Spotter with Transformer Introduction A Multilingual, Open World Video Text Dataset and End-to-end Video Text Sp
A library for creating text-based graphs in the terminal
tplot is a Python package for creating text-based graphs. Useful for visualizing data to the terminal or log files.
ECLARE: Extreme Classification with Label Graph Correlations
ECLARE ECLARE: Extreme Classification with Label Graph Correlations @InProceedings{Mittal21b, author = "Mittal, A. and Sachdeva, N. and Agrawal
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark Project | Arxiv | YouTube | | Abstract In recent years, deep learning-based methods
Twitter Analysis of MIUUL CEO
Twitter Analysis of MIUUL CEO Business Problem I got last @mvahitkeskin 184 twee
A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk.
Simple-Vosk A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk. Check out the official Vosk G
TweebankNLP - Pre-trained Tweet NLP Pipeline (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Models + Tweebank-NER
TweebankNLP This repo contains the new Tweebank-NER dataset and Twitter-Stanza p
Me and @nathanmargni did a small analysis on what are the best strategies to win more games of League of Legends.
Me and @nathanmargni did a small analysis on what are the best strategies to win more games of League of Legends.
Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset
Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset
CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss This is official implement of "
Python Computer Vision from Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
Th2En & Th2Zh: The large-scale datasets for Thai text cross-lingual summarization
Th2En & Th2Zh: The large-scale datasets for Thai text cross-lingual summarization 📥 Download Datasets 📥 Download Trained Models INTRODUCTION TH2ZH (
In this project, we compared Spanish BERT and Multilingual BERT in the Sentiment Analysis task.
Applying BERT Fine Tuning to Sentiment Classification on Amazon Reviews Abstract Sentiment analysis has made great progress in recent years, due to th
Twitter-NLP-Analysis - Twitter Natural Language Processing Analysis
Twitter-NLP-Analysis Business Problem I got last @turk_politika 3000 tweets with
Random Number Generator Analysis With Python
Random-Number-Generator-Analysis Governor's Honors Program Project to determine
Custom function scheduler TUI (text-based user interface) in the console
Custom function scheduler TUI (text-based user interface) in the console
Free & simple way to encipher text
VenSipher VenSipher is a free medium through which text can be enciphered. It can convert any text into an unrecognizable secret text that can only be
This is a place where I'm playing around with pandas to analyze data in a csv/excel file.
pandas-csv-excel-analysis This is a place where I'm playing around with pandas to analyze data in a csv/excel file. 0-start A very simple cheat sheet
The Scary Story - A Text Adventure
This is a text adventure which I made in python 3. This is one of my first big projects so any feedback would be greatly appreciated.
⛤Keylogger Generator for Windows written in Python⛤
⛤Keylogger Generator for Windows written in Python⛤
📝An easy-to-use package to restore punctuation of the text.
✏️ rpunct - Restore Punctuation This repo contains code for Punctuation restoration. This package is intended for direct use as a punctuation restorat
Auxiliator is telegram bot for basic web-application analysis
Auxiliator Auxiliator is telegram bot for basic web-application analysis What for? Sometimes there is no access to your main PC, where you can scan we
Cross-modal Retrieval using Transformer Encoder Reasoning Networks (TERN). With use of Metric Learning and FAISS for fast similarity search on GPU
Cross-modal Retrieval using Transformer Encoder Reasoning Networks This project reimplements the idea from "Transformer Reasoning Network for Image-Te
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De
Exploring the Top ML and DL GitHub Repositories
This repository contains my work related to my project where I scraped data on the most popular machine learning and deep learning GitHub repositories in order to further visualize and analyze it.