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66daysofdata

#66DaysOfData challenge in Financial Machine Learning

ahmedrachid

My personal repository

ahmedrachid.github.io

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

alertonesignal

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

algorithmictrading

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver. Therefore, much of the analysis are correct and give an indication how these methods work.

alibi

Algorithms for monitoring and explaining machine learning models

arxiv-vector-search

aspect-based-sentiment-analysis

A paper list for aspect based sentiment analysis.

audio-semantic-search

automated-trading-strategy-using-machine-learning

Manning liveProject 'Developing and Testing an Automated Trading Strategy using Machine Learning in Python'

awesome-cto

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

awesome-feature-engineering

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

awesome-nlp

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

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome_machine_learning_solutions

A curated list of repositories for my book Machine Learning Solutions.

aws-data-wrangler

Pandas on AWS

bert-e2e-absa

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP 2019)

bertopic

Leveraging BERT and a class-based TF-IDF to create easily interpretable topics.

binary.com-interview-question

The sample question for Interview a job in Binary options

blockchain

budgetml

Deploy a ML inference service on a budget in less than 10 lines of code.

calibrating-rough-volatility-models-with-deep-learning

This is a course project of the course « Machine Learning for Finance » at ENSAE ParisTech.

calibrationnn

Model Calibration with Neural Networks

cdc-mssql-greenplum

cfds

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

chatbot-watson-android

An Android ChatBot powered by Watson Services - Assistant, Speech-to-Text and Text-to-Speech on IBM Cloud.

cicoffee-api