matekristof Goto Github PK
Name: Máté Kristóf
Type: User
Name: Máté Kristóf
Type: User
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
Alternative launcher for Assetto Corsa named Content Manager, and some utils as well.
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep Learning Specialization by Andrew Ng on Coursera.
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Roadmap to becoming a web developer in 2019
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Performant and effortless finance plotting for Python
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
An awesome semantic segmentation model that runs in real time
Python framework for TradingView's Lightweight Charts JavaScript library.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A Python toolbox for performing gradient-free optimization
This is the notebook associated with the blog post:
All Algorithms implemented in Python
A Full stack Semantic Segmentation project using tensorflow, deeplab and dash
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A list of all named GANs!
Git repo for the BME deep learning course.
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.