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Name: Alexander Hanbo Li
Type: User
Company: AWS AI Labs
Bio: A creature with intelligence.
Location: Seattle
Name: Alexander Hanbo Li
Type: User
Company: AWS AI Labs
Bio: A creature with intelligence.
Location: Seattle
Huggingface Transformers + Adapters = ❤️
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Code for the paper: Adversarial Inference by Matching priors and conditionals
⚗️ A Jekyll boilerplate theme designed to be a starting point for any Jekyll website
Adversarially Learned Inference
http://nlp.seas.harvard.edu/2018/04/03/attention.html
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
A Python implementation of the BM25 ranking function.
NLI test set with lexical inferences
Random or Extremely Random Forest for censored quantile regression.
censored Quantile Random Forest
The Flask server that communicates with my FB Messenger chatbot
Built a simple chatbot from a sequence-to-sequence model with TensorFlow.
Style package for directly including color emojis in latex documents
A technical report on convolution arithmetic in the context of deep learning
The 3rd edition of course.fast.ai
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Conversation models in TensorFlow. (website removed)
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Library for fast text representation and classification.
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Autoregressive Entity Retrieval
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
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.