johnkorn

johnkorn's Stars

• kuchin/awesome-cto

  A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

  25.6k1.5k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10k6.7k

• data-science-on-aws/data-science-on-aws

  AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

  Language:Jupyter Notebook3.3k1.1k

• myxik/Reasonable

  Innovative approach to Reasonable AI

  Language:Jupyter Notebook5

• bizz84/starter_architecture_flutter_firebase

  Time Tracking app with Flutter & Firebase

  Language:Dart1.6k451

• MarcusNg/flutter_recipe_app

  https://youtu.be/l3CIMZSAaIk

  Language:Dart3225

• NVlabs/ocrodeg

  document image degradation

  Language:Jupyter Notebook15533

• tensorflow/moonlight

  Optical music recognition in TensorFlow

  Language:Python32569

• OMR-Research/tf-end-to-end

  TensorFlow code to perform end-to-end Optical Music Recognition on monophonic scores through Convolutional Recurrent Neural Networks and CTC-based training.

  Language:Python14259

• Audiveris/audiveris

  Latest generation of Audiveris OMR engine

  Language:Java1.5k225

• slgero/testovoe

  Home assignments for data science positions

  Language:Jupyter Notebook62099

• dominikschnitzer/musly

  Musly - Music Similarity Library

  Language:C++13727

• IntuitionMachines/OrigamiNet

  Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"

  Language:Python14240

• ThoughtWorksInc/cd4ml-workshop

  Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

  Language:Jupyter Notebook316365

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.1k556

• deezer/spleeter

  Deezer source separation library including pretrained models.

  Language:Python25.6k2.8k

• ajgallego/document-image-binarization

  A selectional auto-encoder approach for document image binarization

  Language:Python10123

• cantaro86/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  Language:Jupyter Notebook5.5k998

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python5.9k657

• ankitshaw/Document-Scanner-and-OCR

  A simple document scanner with OCR implemented using Python and OpenCV

  Language:Python4320

• sammdu/pyimgscan

  Take any phone-taken picture and turn it into a document scan.

  Language:Python8010

• microsoft/computervision-recipes

  Best Practices, code samples, and documentation for Computer Vision.

  Language:Jupyter Notebook9.5k1.2k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python269k45.5k

• bayesgroup/deepbayes-2019

  Practical assignments of the Deep|Bayes summer school 2019

  Language:Jupyter Notebook827207

• ad-si/awesome-sheet-music

  A curated list of awesome sheet music software, libraries and resources.

  77455

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k393

• CompVis/adaptive-style-transfer

  source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

  Language:Python728140

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.7k7.9k

• Ahmkel/Keras-Project-Template

  A project template to simplify building and training deep learning models using Keras.

  Language:Python797190

• tkarras/progressive_growing_of_gans

  Progressive Growing of GANs for Improved Quality, Stability, and Variation

  Language:Python6.1k1.1k