klampropoulos Goto Github PK
Name: Konstantinos Lampropoulos
Type: User
Company: University of Thessaly
Bio: Electrical and Computer Engineering
Location: Athens,Greece
Blog: https://www.linkedin.com/in/konstantinos-lampropoulos-970163152/
Name: Konstantinos Lampropoulos
Type: User
Company: University of Thessaly
Bio: Electrical and Computer Engineering
Location: Athens,Greece
Blog: https://www.linkedin.com/in/konstantinos-lampropoulos-970163152/
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Lecture notes on Bayesian deep learning
Python-caching policies
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
Machine Learning -ANN-SOMS
Dash demo app for drug discovery
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A Course on Mathematical Theories of Deep Learning
The deeplearning algorithms implemented by tensorflow
keras-flask-mnist
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.
source code from the book Genetic Algorithms with Python by Clinton Sheppard
Getting Started with TensorFlow, published by Packt
this repository accompanies my forthcoming book "Grokking Deep Learning"
Image Classifier with keras and Python Flask framework
Deep Learning for humans
Implementing machine learning algorithms from scratch.
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Machine Learning from scratch
Matlab code for machine learning algorithms in book PRML
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 ;)
All Algorithms implemented in Python
Python Data Science Handbook: full text in Jupyter Notebooks
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Code reference from my Qbox blog posts.
scikit-learn: machine learning in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.