- Greater Milwaukee Area
- https://www.linkedin.com/in/gshau/
Stars
A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
Google Research
An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Software to manage a Linux-based All Sky Camera.
Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)
Python client for interacting with the Voyager Astrophotography application server
PyTorch implementations of Generative Adversarial Networks.
Repository containing notebooks of my posts on Medium
Bindings for Davis Vantage Pro and Pro2 weather stations, upload of weather data (e.g. wunderground.com, pwsweather.com), and meteorological calculation/conversion functions.
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
The ASCOM REST based Remote Driver Server and Remote Access Clients
Fast, flexible and easy to use probabilistic modelling in Python.
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Natural Language Processing Tutorial for Deep Learning Researchers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
Ready-to-run Docker images containing Jupyter applications
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)