Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Solutions of algorithmic type of programming problems from sites like LeetCode.com, HackerRank.com, LeetCode.com, Codility.com, CodeForces.com, etc. using Java.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
An open-source NLP research library, built on PyTorch.
A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
Jupyter metapackage for installation, docs and chat
Question generation using state-of-the-art Natural Language Processing algorithms
Neural question generation using transformers
Help develop safe and effective medicines by predicting molecular activity.
Warning: This project does not have any current developer. See bellow.
Deep Learning Tutorial notes and code. See the wiki for more info.
A curated list of data science blogs
Code accompanying the book "Machine Learning for Hackers"
A curated list of awesome Machine Learning frameworks, libraries and software.
(15/4551) My NLP work in Kaggles Toxic Comment Classification Challenge
Open solution to the Toxic Comment Classification Challenge
PS materials for CMPE 462 - Spring' 20 @ Boğaziçi University
This repository is part of a "Space Science with Python" tutorial series. The corresponding articles that explain each part are available on Medium (https://medium.com/@thomas.albin). If you do not…
SF Brigade's Data Science Working Group.
A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
Build and Deploy A Serverless Data Pipeline on AWS
A curated list of Microservice Architecture related principles and technologies.
A use-case focused tutorial for time series forecasting with python
Directions overlay for working with pandas in an analysis environment
Data, Benchmarks, and methods submitted to the M5 forecasting competition
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning