tonydeep Goto Github PK
Name: Tony Khánh
Type: User
Bio: Learning today, Leading tomorrow.
Name: Tony Khánh
Type: User
Bio: Learning today, Leading tomorrow.
10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras
PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)
An icon font for academics
Compare SELUs (scaled exponential linear units) with other activation on MNIST, CIFAR10, etc.
AdaGAN: greedy iterative procedure to train mixtures of GANs
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Little More Advanced TensorFlow Implementations
The classical papers and codes about generative adversarial nets
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
Repo for work for AI Survey
AI & Deep Learning Enthusiasts Meetup Project & Study Sessions
Automatic classification of medical patient discharge notes into standard disease labels, using deep learning models
Dataset for NLG which contains preceding context along with each generation instance
A knowledge-grounded human-human dataset of open-domain conversations.
Adversarially Learned Inference with Conditional Entropy (ALICE)
All About the GAN
An open-source NLP research library, built on PyTorch.
Applying the deep learning techniques from Alpha Go to play tic-tac-toe
Code for the paper "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun
Web interface for browsing, search and filtering recent arxiv submissions
A Tensorfflow implementation of Attend, Infer, Repeat
A PyTorch implementation of the Transformer model in "Attention is All You Need".
[AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin
A curated list of resources dedicated to bayesian deep learning
A curated list of awesome resources related to capsule networks
A curated list of awesome Deep Learning tutorials, projects and communities.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.
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.