LahiruTjay

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

vaquarkhan

java-best-practices

Best practices in Coding, Designing and Architecting Java Applications

java-design-patterns

Design patterns implemented in Java

Building-a-Conversational-Chatbot-for-Slack-using-Rasa-and-Python

A guide to creating a chatbot with Rasa stack and Python and deploying it on Slack

deeplearning-models

A collection of various deep learning architectures, models, and tips

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

system-design

Preparing for system design interview questions

solution-architecture-patterns

Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise

repositories-deepdive

Sample code for the Spring Data JPA repositories deep dive talk

Spring_REST_OAuth_Demo

oauth2-server

OAuth2 Server Library

auth-server

Spring-Boot Auth server

Question_Answering_Models

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

Duke-MLSS-2018

Duke Machine Learning Summer School 2018

Duke-Tsinghua-MLSS-2017

Duke-Tsinghua Machine Learning Summer School 2017

Sentiment-Analysis-on-Twitter-data

Sentiment analysis over twitter data (deep learning) in Python

samr

An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition

sentiment

Sentiment analysis using machine learning techniques.

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

notebooks

Some sample IPython notebooks for scikit-learn

nlu-benchmark

Weatherbot_Tutorial

NLP-Projects

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

usent

Subjectivity and sentiment classification using polarity lexicons

Conversational-AI

Conversational AI Reading Materials

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource