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Name: Calvin Daniel Woo
Type: User
Bio: I really enjoy birds. And machine learning, and homotopy type theory, and functional programming, and...
Location: New York, NY
Blog: calwoo.github.io
Name: Calvin Daniel Woo
Type: User
Bio: I really enjoy birds. And machine learning, and homotopy type theory, and functional programming, and...
Location: New York, NY
Blog: calwoo.github.io
Going through "Accelerated C++" by Koenig-Moo. Some notes are in here.
Notes on Agda for personal use.
Personal notes on Anglican and probabilistic programming.
A personal note on Python asyncio capabilities. Will probably evolve over time as I need to learn more.
Some implementations of deep autoencoders on the MNIST dataset.
Personal blog built with Hakyll.
Notes on categorical notions in functional programming, via Haskell.
A while back I tried to learn some Haskell after attending a homotopy theory seminar on the topic. So I went and saw UPenn's CIS 194 course and ended up trying to go through all the exercises and lectures.
Exercises and notes from UPenn's CIS552 on Haskell.
A variational autoencoder model for generating 3D point clouds.
An implementation of delimited continuations, with examples.
Support for for students (Python)
Learning a bit of game theory.
Just another GAN implementation, with tensorflow. Just for learning purposes.
Just some notes on gaussian processes.
A genetic algorithm to solve toy traveling salesman problems. This is a learning note.
Notes on me trying to learn Golang.
Notes on graph algorithms.
Working through the Haskell book of Allen-Moronuki.
Haskell exercises from exercism.io. Just some practice.
A repository of my personal notes on topics in Haskell.
Just a note to myself about Huet's functional zippers.
Experiments in hyperbolic geometry and graph embeddings.
A test implementation of a Kohonen self-organizing map. For personal learning purposes.
Standardized Serverless ML Inference Platform on Kubernetes
Notes and worked-through tutorials from learning CUDA programming.
Linear regression from scratch. In various ways.
EC2 clusters for distributed deep learning launched by Terraform.
Notes on ML compilation.
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.