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The classical paper list with code about generative adversarial nets
Code implementation for "Improved Clustering Performance using Latent Data Representation from Variational Autoencoder" by Agarap & Azcarraga (2019)
Annotation of ECG signals using deep learning.
Implementation of recent Deep Learning papers
Notebooks for learning deep learning
A guide to document clustering in Python
an implementation of emojify
Given an input sentence the model adds the appropriate emoji.
Non official project based on original /r/Deepfakes thread. Many thanks to him!
Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"
Generate images via a Generative Adversarial Network (GAN)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
API to retrieve quotes from daily wine auctions
Deep Learning for humans
Keras Temporal Convolutional Network.
ML
Machine Learning (Deep Learning) - Tinderbot
A library for Multilingual Unsupervised or Supervised word Embeddings
Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras
Repository for Programming Assignment 2 for R Programming on Coursera
Keras implementation of the Crepe character-level convolutional neural net.
Implementation of the Ransac algorithm written in Java
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
CNN for Sudoku
Machine learning for Tinder swipes in JS
Convolutional variational autoencoder applied to (E)MNIST + an interactive demo to explore the latent space.
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
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.