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airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

assessingsolar

Solar Resource Assessment in Python

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

awesome-rl

Reinforcement learning resources curated

axa-insurance-telematics-kaggle

I developed this case study only in 7 days with Pyspark (Spark 1.6.0) SQL & MLlib. I used Databricks cluster and AWS. %90 AUC is achieved (without involving Trip Matching-Repeated Trips feature) with Random Forest. Many ensembles with RF, GBT and Logistic Regression and outlier elimination could be used to improve this result. There are two versions of my code (test and full execution). Since AWS costs have exceeded my budget I sopped to train my model(s) all dataset for full dataset execution. There is also a ppt that presents my outputs in test execution. Full Data Execution code is more production ready and slightly different version. I had to use Databricks Table Caching to TRAIN and TEST data tables to obtain acceptable performance in production ready version.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

blog.rust-lang.org

The Rust Programming Language Blog

boilerplate

🍪 Cookiecutter template for production level API services with machine learning.

bond-pricing-and-interest-rates-in-q

Implementation in KDB+/q of a series of functions of interest to bond pricing and interest rates modelling

book

The Rust Programming Language

complete-feature-engineering

course-v3

The 3rd edition of course.fast.ai

courses

fast.ai Courses

cpython

The Python programming language

credit-risk-analysis

Assessing the credit score of individuals using PySpark

deep-hedging

deep-learning-coursera-complete

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deeplearning-benchmark

deeplearning-cfn

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

deeplearning-padhai

All the code files related to the deep learning course from PadhAI

deeplearningexamples

Deep Learning Examples

django-rest-framework

Web APIs for Django. ⚡️

ec2-spot-labs

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

ecs-cluster-manager

This project is meant to automate and simplify the lifecycle management of an ECS cluster.