Raimondo Marino's Projects
Hands-On Bayesian Methods with Python
ABIDES: Agent-Based Interactive Discrete Event Simulation
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
Performance analysis of predictive (alpha) stock factors
Content for Udacity's AI in Trading NanoDegree.
Sentence similarity Fast Retrieval : Faiss and Sentence-Transformers based on serverless architecture - API Gateway, Lambda Containers, DynamoDB and ElastCache.
aws-lambda-question-generator
SageMaker inference for VirtualSteve
Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
A Python package for improving machine learning models in non-stationary environments.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.
Jupyter notebooks and data files of the new EDHEC specialization on quantitative finance (completed Aug 2022)
EyeQ : Dataset of Retinal Image Quality Assessment
Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.
A curated list of practical financial machine learning tools and applications.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Using Kafka to track cryptocurrency price trends
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.