ksparavec's repositories
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
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.
statsmodels
Statsmodels: statistical modeling and econometrics in Python
Time-Series-Analysis-and-Forecasting-with-Python
Time Series Analysis and Forecasting in Python
FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.
quantum-algorithms-tutorials
Tutorials for Quantum Algorithms with Qiskit implementations.
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.
shap
A game theoretic approach to explain the output of any machine learning model.
wandb_edu
Educational materials on deep learning by Weights & Biases
ansible-role-docker
Ansible Role - Docker
ansible-role-containerd
Ansible Role - containerd.io
ansible-role-kubernetes
Ansible Role - Kubernetes
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
iisignature
Iterated integral signature calculations
ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
dtale
Visualizer for pandas data structures
ansible-role-wireguard
Ansible role for installing WireGuard VPN. Supports Ubuntu, Debian, Archlinx, Fedora and CentOS.
community.libvirt
Manage libvirt with Ansible
llama-squad
Train Llama 2 on the SQuAD v2 task as an example of how to specialize a generalized (foundation) model.
myia
Myia prototyping
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience
Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt
ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.