pmarko1711

pmarko1711's Stars

• google/fonts

  Font files available from Google Fonts, and a public issue tracker for all things Google Fonts

  Language:HTML18.2k2.6k

• OpenLoco/OpenLoco

  An open source re-implementation of Chris Sawyer's Locomotion

  Language:C++1.3k157

• kedro-org/kedro

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  Language:Python9.9k903

• ricklupton/floweaver

  View flow data as Sankey diagrams

  Language:Python44790

• nowthis/sankeymatic

  Make Beautiful Flow Diagrams

  Language:JavaScript945130

• madmaze/pytesseract

  A Python wrapper for Google Tesseract

  Language:Python5.8k721

• apache/spark

  Apache Spark - A unified analytics engine for large-scale data processing

  Language:Scala39.7k28.3k

• hamaadshah/market_risk_gan_tensorflow

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

  Language:Python8642

• jmartinezheras/2018-MachineLearning-Lectures-ESA

  Machine Learning Lectures at the European Space Agency (ESA) in 2018

  Language:Jupyter Notebook353145

• microsoft/SynapseML

  Simple and Distributed Machine Learning

  Language:Scala5.1k833

• titicaca/spark-iforest

  Isolation Forest on Spark

  Language:Scala22790

• iskandr/fancyimpute

  Multivariate imputation and matrix completion algorithms implemented in Python

  Language:Python1.3k178

• freedombenLiu/ad_examples

  Language:Python51

• vim/vim-win32-installer

  Vim Win32 Installer

  Language:Batchfile2.2k243

• cloudera/cdsw-training

  Example Python and R code for Cloudera Data Science Workbench training

  Language:Python2443

• devakar/deep-learning-books

  359163

• patrickbr/gtfstidy

  A tool for checking, sanitizing and minimizing GTFS feeds.

  Language:Go11415

• kmario23/deep-learning-drizzle

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

  Language:HTML12.2k2.9k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.5k2.2k

• csgillespie/poweRlaw

  This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.

  Language:R10924

• googlefonts/roboto-2

  The Roboto family of fonts

  Language:Python3.8k309

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10k1.5k

• google/styleguide

  Style guides for Google-originated open-source projects

  Language:HTML37.4k13.3k

• RocketChat/Rocket.Chat

  The communications platform that puts data protection first.

  Language:TypeScript40.5k10.5k

• databricks/spark-deep-learning

  Deep Learning Pipelines for Apache Spark

  Language:Python2k494

• openai/InfoGAN

  Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

  Language:Python1.1k308

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k4.9k

• junyanz/CycleGAN

  Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

  Language:Lua12.4k1.9k

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.9k1.1k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k14.9k