keawang Goto Github PK
Name: Alex Wang
Type: User
Bio: CS PhD student at Stanford University; Cornell University BA, MS
Location: Stanford, CA
Blog: http://keawang.github.io
Name: Alex Wang
Type: User
Bio: CS PhD student at Stanford University; Cornell University BA, MS
Location: Stanford, CA
Blog: http://keawang.github.io
A community repository for benchmarking Bayesian methods
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Stanford reading group on continuous time models for machine learning
Differentiable simulators for Type 1 Diabetes research in Jax and PyTorch
State Space Models library in JAX
A deep learning framework for building multimodal multi-task learning systems.
Clone of OpenAI's Spinning Up in PyTorch
Python-centered read-along of Forecasting: Principles and Practice
Code for "Is Importance Weighting Incompatible with Interpolating Classifiers?"
Code for "Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild" (ML4H 2023; selected for lightning talk)
Scripts for making tidy plots
A personal blog.
Using RNNs to generate rhythm
A template for prototyping machine learning ideas in PyTorch
This repository contains citation data for papers published in NeurIPS in 2014 - 2018, and ICML 2017, 2018. It also contains the code to collect this data.
My Obsidian Second Brain setup
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
Scalable and user friendly neural :brain: forecasting algorithms.
Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.
Materials for ORIE 7191: Topics in Optimization for Machine Learning
Notes on things I learned
1300 datasets from various R packages packed as DataFrames through compressed pickle files
Normalizing flows in PyTorch. Current intended use is education not production.
Solutions to Rougier's Scientific Visualization, Python & Matplotlib book
Scientific computation routines in PyTorch
Simple machine learning algorithms for my own reference
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
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.