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40-algorithms-every-programmer-should-know

40 Algorithms Every Programmer Should Know, published by Packt

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

ai-memo

AI Memo transcript

algo-trading-book

Algorithmic and high-frequency trading book

algotrading

Algo Trading Research & Documentation

allennlp

An open-source NLP research library, built on PyTorch.

alphalens

Performance analysis of predictive (alpha) stock factors

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

apache-spark-deep-learning-cookbook

Apache Spark Deep Learning Cookbook, published by Packt

arctic

High performance datastore for time series and tick data

ark-invest-tesla-valuation-model

An excerpt from our financial valuation model of Tesla

assignment2

Skeleton code for the second assignment.

atdmf-trading-strategies

Trading strategies medium term

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

aws-system-administration-resources

Scripts and resources for the AWS System Administration book

awslambda

AWS Lambda

bashcookbook-examples

Example code from O'Reilly's bash Cookbook

behavioraldataanalysis

Support files for the O'Reilly book "Behavioral Data Analysis with R and Python" by Florent Buisson

bert

TensorFlow code and pre-trained models for BERT

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

blog

Some notes on things I find interesting and important.

boto3

AWS SDK for Python

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

caffe

Caffe: a fast open framework for deep learning.

chaosmonkey

Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

clrs