SolonynkaOleg

SolonynkaOleg's Stars

• gothinkster/realworld

  "The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more

  Language:TypeScript79.6k7.3k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.3k3k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook22.7k4k

• dotnet-architecture/eShopOnContainers

  Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.

  Language:C#24.6k10.4k

• dotnet/machinelearning-samples

  Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

  Language:PowerShell4.4k2.7k

• trekhleb/javascript-algorithms

  📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

  Language:JavaScript184k29.8k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  296k74.6k

• jerryli27/TwinGAN

  Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs

  Language:Python72098

• imfing/keras-flask-deploy-webapp

  :smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

  Language:JavaScript1.2k475

• Ahmkel/Keras-Project-Template

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

  Language:Python798191

• dotnet-architecture/eShopOnWeb

  Sample ASP.NET Core 8.0 reference application, powered by Microsoft, demonstrating a layered application architecture with monolithic deployment model. Download the eBook PDF from docs folder.

  Language:C#10k5.3k

• zotroneneis/machine_learning_basics

  Plain python implementations of basic machine learning algorithms

  Language:Jupyter Notebook4.2k826

• leemengtw/cat-recognition-train

  Train and deploy a cat vs dog image recognition model using TensorFlow

  Language:Python13439

• fsprojects/IfSharp

  F# for Jupyter Notebooks

  Language:Jupyter Notebook44071

• rasbt/algorithms_in_ipython_notebooks

  A repository with IPython notebooks of algorithms implemented in Python.

  Language:Jupyter Notebook505205

• abishekaditya/DSA

  Project : Data Structures and Algorithms in C#

  Language:C#4224

• abishekaditya/DesignPatterns

  Project : Design Patterns Examples in C#

  Language:C#2.4k599

• alexanderlarin/ultimate-brainz

  The simple and temporary based on react and http://musicbrainz.org/ database

  Language:JavaScript133

• Spandan-Madan/DeepLearningProject

  An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

  Language:HTML4.7k640

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k4.2k

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python14.8k4k

• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java12.4k2.7k

• TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

  A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  Language:Python3.7k1.6k

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript279k37.4k

• numenta/nupic-legacy

  Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

  Language:Python6.3k1.6k

• danielkunin/Seeing-Theory

  Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program and National Science Foundation group STATS4STEM. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.

  Language:JavaScript25354

• pkmital/tensorflow_tutorials

  From the basics to slightly more interesting applications of Tensorflow

  Language:Jupyter Notebook5.6k1.2k

• jtoy/awesome-tensorflow

  TensorFlow - A curated list of dedicated resources http://tensorflow.org

  17.1k3k

• dotnet/reactive

  The Reactive Extensions for .NET

  Language:C#6.6k735

• crea7or/EulerPowersConjecture

  Euler's sum of powers conjecture counterexample fun

  Language:C#3