multidis Goto Github PK

18337

18.337 - Parallel Computing and Scientific Machine Learning

18s096sciml

18.S096 - Applications of Scientific Machine Learning

admc

Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution

alpaca-financial-machine-learning-pipeline

amipy

very fast python backtesting framework based on amibroker backtesting methodology

amplify-photo-gallery-workshop

AWS Workshop tutorial for building a photo gallery web app using AWS Amplify and AWS AppSync.

angular-dygraphs

AngularJS directive for dygraphs

angular-nvd3

An AngularJS directive for NVD3 reusable charting library (based on D3). Easily customize your charts via JSON API.

arbfreeiv-vae

Code repository for demos of the article 'Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders'.

arctic

High performance datastore for time series and tick data

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

aws-amplify-unicorntrivia-workshop

This is repository contains a self-paced workshop that uses AWS AppSync, AWS Amplify and AWS Elemental Media Services to implement a live streaming trivia system.

aws-lambda-container-julia

An example of running Julia program as AWS Lambda using container image

barchart-ondemand-client-python

beyond-surrogate-modeling-learning-the-local-volatility-via-shape-constraints

Repository attached to the paper with the same name.

bitquant

Bitcoin data gathering, backtesting, and algorithmic trading solution

bitquant02

BitQuant previous API version

blackboxoptim.jl

Black-box optimization for Julia (julialang.org)

book-socialmediaminingpython

Companion code for the book "Mastering Social Media Mining with Python"

booksearch

📕 A booksearch app UI built with ReactiveSearch

briskforms

Free HTML form submission service

bss

Brownian semistationary processes package

calibrating-rough-volatility-models-with-deep-learning

This is a course project of the course « Machine Learning for Finance » at ENSAE ParisTech.

chat-miner

Parsers and visualizations for chats

clean-code-javascript

:bathtub: Clean Code concepts adapted for JavaScript

clustering.jl

A Julia package for data clustering

coinbasepro-python

The unofficial Python client for the Coinbase Pro API

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cryptocurrency-analysis

Analysis and visualisation of the cryptocurrency market

ctesn

Implementation of some basic ideas around continuous-time Echo State Networks (CTESN) in julia