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Name: Arash
Type: User
Bio: Ai
Name: Arash
Type: User
Bio: Ai
Automatic 2D-to-3D Video Conversion with CNNs
Deep Learning Resources and Tutorials using Keras and Lasagne
Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
Style transfer, deep learning, feature transform
A versatile Python-Fortran CFD code that solves a large class of 2D flows
Focal Loss implementation in Keras
Image Segmentation using Fuzzy C Means
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Generative Adversarial Networks in Keras
starter from "How to Train a GAN?" at NIPS2016
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
Topic Modelling for Humans
GPT-3: Language Models are Few-Shot Learners
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
A GPS application for Guy written on top of Kivy
Presentation of 'Hack the Wind 2018' hackathon solution
Deep Translation and Rotation Equivariance
Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.
A bunch of notebooks relating to the honking project
This is the code for "How to Do Win Slot Machines - Intro to Deep Learning #13' by Siraj Raval on YouTube
Simple raster image tracer and vectorizer written in JavaScript.
Image augmentation for machine learning experiments.
From scratch Python implementation of the fast ICA algorithm.
Keras tutorial for Kaggle 2nd Annual Data Science Bowl
Go-Search - Machine learning powered Heatmap to predict supply-demand gap for ride hailing services across city.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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.