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Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

SABR model Python implementation

Top training materials in quantitative finance

Portfolio and risk analytics in Python

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

A library of metrics for evaluating recommender systems

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

Respository for Open-Science modular microscope system.

Notebooks that replicate original quantitative finance papers from Emanuel Derman

Python package for Bayesian Machine Learning with scikit-learn API

This is the code for "I Built a Sports Betting Bot with ChatGPT" by Siraj Raval on Youtube

Create knowledge graphs with LLMs

minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

Library for fitting the LPPLS model to data.

Choose your diffusion models and spin up a WebUI on Colab in one click

optimization routines for hyperparameter tuning

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Datasets & Analyses for Formula 1 World Championship

personal chatgpt

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

Notebooks and libraries for spatial/geo Python explorations

A dataset of 100,000 minutes of driving video compressed using a VQ-VAE.

A fast, extensible, transparent python library for backtesting quantitative strategies.

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

source{d} datasets ("big code") for source code analysis and machine learning on source code

Log Anomaly Detection - Machine learning to detect abnormal events logs