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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
Notes on monad transformers. Will get updated as I read more stuff.
Notes on monte carlo methods applied to quantitative finance. For personal use.
Exercises from the MOOC offered by the University of Helsinki on Java.
Notes and exercises done from Whitington's "More OCaml".
A stupid implementation of gaussian naive bayes because I keep forgetting what it is for some reason.
OCaml examples and exercises from Whitington's "OCaml from the very beginning".
Notes on probabilistic programming and Bayesian deep learning
TeXed up notes on the theory of Bhatt-Scholze prismatic cohomology.
Notes on probabilistic functional programming in Haskell. For personal learning usage.
Python port of the Lox programming language from "Crafting Interpreters".
Notes on algorithms and data structures.
Python exercises from exercism.io. Just some practice.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Personal note following the pytorch 60 minute blitz tutorial.
Udacity's PyTorch challenge course by FAIR.
Learning about quantum computing/QML.
These are some examples of reinforcement learning from various sources. This is a personal learning project to understand the fundamentals of RL beyond the mathematics.
Personal notes on robotics and ROS, from various sources.
Play with the Spark, Spark streaming and DataFrame API.
Implementation of kernelized Stein discrepancy and experiements with Stein variational gradient descent.
A basic file warpgate-creator CLI tool, written in Rust.
A simple todo app in Haskell.
Learning how to build a basic compiler for a Lisp-like language.
Learning about compilers and stuff. In OCaml.
I wrote a variational autoencoder in tensorflow. There are many out there like it, but this one is mine. =D
A gaussian mixture model solved via variational inference. Attached with my own mathematical notes.
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.