stjordanis Goto Github PK

market_risk_gan_tensorflow

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

markmap

Visualize your Markdown as mindmaps with Markmap.

markov_and_hidden_markov_model

The repository demonstrates the introduction for Markov chain and HMM for Quantitative Finance

markovian

A chess engine playing with the xboard interface

markowitzportfoliooptimization

Computing a solution for the optimal mean-variance tradeoff (maximising Sharpe Ratio) of a portfolio according to MPT.

markup2im

Diffusion-based markup-to-image generation

markupsafe

Safely add untrusted strings to HTML/XML markup.

marlowe

Prototype implementation of domain-specific language for the design of smart-contracts over cryptocurrencies

marlowe-cardano

Marlowe smart contract language Cardano implementation

marlowe-dependency-docs

Marlowe Dependency Documentation

marlowe-website

The Marlowe website

marmaray

Generic Data Ingestion & Dispersal Library for Hadoop

mars

Mars is a tensor-based unified framework for large-scale data computation.

martelli-montanari

microKanren using the Martelli-Montanari algorithm instead of miniKanren's old "triangular substitution"-based unification

marten

.NET Transactional Document DB and Event Store on PostgreSQL

marten.fsharp

A set of FSharp wrappers around Marten

mas

:package: Mac App Store command line interface

masala

Standalone Ethereum Virtual Machine

mask-detection-bot

mask_ad

Mask R-CNN for detecting and blurring advertising on streets.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

masked-gan-manifold

A mask-guided method for control over localized regions in StyleGAN2 images.

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mason-registry

Package registry for mason, Chapel's package manager

mass-learning

Code to reproduce the experiments in the paper Minimal Achievable Sufficient Statistic Learning

mass-scraping

Quickly download and scrape websites on a massive scale.

massingestiondataloader

Companion code to Kx Technical White Paper “Mass ingestion through data loaders”

massive

Tools and Modeling Code for the MASSIVE dataset

master-deep-learning-with-tensorflow-2.0-in-python-2019

Master Deep Learning with TensorFlow 2.0 in Python [2019]

mastercoder2014

My solutions