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This is Andrew NG Coursera Handwritten Notes.
This repo contains annotated research papers that I found really good and useful
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of community detection research papers with implementations.
Resources for working with time series and sequence data
End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
In our paper we analyse the comments of 50 recent videos of Pewdiepie and we evaluate the polarity and toxicity leveraging libraries like TextBlob and the pre trained model BERT.
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Topological botnet detection datasets and graph neural network applications
Pairwise model for commonlit competition
Credit Risk Models for Scorecards, PD, LGD, EAD
Collection of useful data science topics along with code and articles
Carefully curated resource links for data science in one place
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
DiggText is a social text information aggregator for personal use.
Open-source framework to detect outliers in Elasticsearch events
Hands-on Exploratory Data Analysis with Python, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Code for kaggle competitions using Mahout
🏅 Collection of Kaggle Solutions and Ideas 🏅
A comprehensive collection of recent papers on graph deep learning
Implementation of different ML Algorithms from scratch, written in Python 3.x
Notebook for BERT medical named entity recognition
Dockerized method to pull threat intel from MISP and use it to enrich Elasticsearch data via Logstash and Memcached
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.