314 Open source projects that are alternatives of or similar to Naive-Bayes-Evening-Workshop

The Entire Transcript from the Office in Tidy Format

My GitHub blog: things you might be interested, and probably not...

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Running Presto on k8s

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

Repo of my blogpost articles codes

Complied Resources for learning Machine Learning & Data Science

The Centrifuge process, filter and saves the relevant documents as recommendations to the relevant users

R package of colour palettes based on Metallica studio album covers.

Political Discourse Analysis Using Pre-Trained Word Vectors.

This is a further development of the kdnuggets article on fake news classification by George McIntyre

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

YT metadata exporter

Start a data science project with modern tools

📖 A curated list of resources dedicated to Natural Language Processing (NLP) in the Yoruba Language.

Automatic Text Summarization (English/Arabic).

A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

Interpretable Models for NLP using PyTorch

File processing pipelines

Some of the projects i made when starting to learn R for Data Science at the university

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

All the slides, accompanying code and exercises all stored in this repo. 🎈

Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Curated list of Python resources for data science.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

A simple Flask website for all NLP tasks which includes Text Preprocessing, Keyword Extraction, Text Summarization etc. Created Date: 30 Jan 2019

No description or website provided.

No description or website provided.

Automated NLP sentiment predictions- batteries included, or use your own data

Keras implementation for CrossNet in paper "Cross-Target Stance Classification with Self-Attention Networks"

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

Population assignment analysis using R

Topic modelling on financial news with Natural Language Processing

25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.

Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

Solutions to Python for Everybody: Exploring Data using Python 3 by Charles Severance

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Userscript that changes Clickbait headlines by headlines more honest to the news it links to.

paribhasha.herokuapp.com/

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Data visualization tool for wikis evolution

Baixa as planilhas de salários de magistrados, extrai os contracheques, limpa e exporta pra CSV

Very deep CNN for text classification

VS Code Jupyter extension

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

The foundational library of the Morpheus data science framework

Lecture content for Intro to Data Science 2018

A Clojure high performance data processing system

Comet-For-MLFlow Extension

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Kaggle Competition: Using deep learning to solve quora's question pairs problem