Scrypted is a high performance home video integration and automation platform

Google Research

A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spar…

About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9

This repository contains different tools to simulate underlyings under SV dynamics. As well, we have implemented several tools for computing option price under SV.

Inference code for LLaMA models

This is companion code for the Wilmott article Catch Up by Jesper Andreasen. The xll code is based on Antoine Savine's https://github.com/asavine/xlCppTutorial where more info is available

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 …

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

Companion code for "Modern Computational Finance, volume 2: Scripting for Derivatives and XVA" (Antoine Savine & Jesper Andreasen, Wiley, 2021)

Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London

Code for the paper "Language Models are Unsupervised Multitask Learners"

Course material for STAT 479: Deep Learning (SS 2019) course at University Wisconsin-Madison

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

World Models Experiments

Functions to Help Communicate Bayesian Inference

Evolution Strategies Tool

The Devil is in the Data blog

RAPIDS Sample Notebooks

Mirror of Apache Beam

Script to select the best subset of variables based on genetic algorithm in R

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

Models Of animal MovemENT behavior Using multivariate Hidden Markov Models

Dark Corners of Q

bayesplot R package for plotting Bayesian models

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and co…