ksparavec Goto Github PK

ansible-role-containerd

Ansible Role - containerd.io

ansible-role-docker

Ansible Role - Docker

ansible-role-kubernetes

Ansible Role - Kubernetes

ansible-role-wireguard

Ansible role for installing WireGuard VPN. Supports Ubuntu, Debian, Archlinx, Fedora and CentOS.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

community.libvirt

Manage libvirt with Ansible

compfinance

Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

differential-machine-learning-appendices

Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production

differential-machine-learning-notebooks

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

dtale

Visualizer for pandas data structures

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

flaz_machine-learning-for-time-series-forecasting

flaz_machinelearninginstitute

fsi-samples

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

generative_deep_learning_2nd_edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

iisignature

Iterated integral signature calculations

ipconfig

ksparavec.github.io

learn-quantum-computing-with-python-and-ibm-quantum-experience

Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt

llama-squad

Train Llama 2 on the SQuAD v2 task as an example of how to specialize a generalized (foundation) model.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

ml_finance_codes

Machine Learning in Finance: From Theory to Practice Book

mli-m1-askoshiyama

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

myia

Myia prototyping

nlib

The book "Annotated Algorithms in Python" and the nlib.py library

nn-stochvol-calibrations

We implement the paper: Deep Learning Volatility

optimalexecution

Code for optimal execution

phd-docs