William Huang's repositories
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
babble
Hashgraph Consensus
bs-loader
:radio: Bucklescript loader for Webpack
bucklescript
A backend for the OCaml compiler which emits JavaScript.
designing-data-intensive-applications
Designing Data-Intensive Applications by Martin Kleppmann. The essence of building reliable and scalable distributed data systems and efficiently using them to solve real world problems.
fastbook
Draft of the fastai book
homebrew-core
🍻 Default formulae for the missing package manager for macOS
HoneyBadgerBFT
The Honey Badger of BFT Protocols
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
muzero-general
MuZero
nginx-1
An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html
react-org-chart
High-performance organizational chart, built in D3 & React
react-select
A Select control built with and for React JS
redux-loop
A library that ports Elm's effect system to Redux
spellbook-of-modern-webdev
A Big Picture, Thesaurus, and Taxonomy of Modern JavaScript Web Development
stockpredictionai
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.
Technical_Book_DL
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
terraform-aws-hasura
Terraform module to deploy Hasura graphql engine on AWS
url-to-pdf-api
Web page PDF rendering done right. Self-hosted service for rendering receipts, invoices, or any content.
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.