Justin Romer's starred repositories
Hands-On-Financial-Trading-with-Python
Hands-On Financial Trading with Python, published by Packt
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
nwp-python-jul-2021
Python scripts for the "NWP Data Acquisition, Processing and Visualization With Python" training course (INPE / CPTEC) - Jul / 2021
CCD-Plugin
The CCD-Plugin uses Google Earth Engine to get Landsat or Sentinel2 datasets and run the Continuous Change Detection (CCDC) algorithm to analyze the trends and breakpoints of change over multi-year time series at a given coordinate.
AnimatedDrawings
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
CodeFormer
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.
Hands-On-Markov-Models-with-Python
Hands on Markov Models with Python, published by Packt
Workshops-2020-2021
Workshops for 2020-2021 school year
markov-baseball
Markov chain analysis on baseball
CU-Sabermetrics-Final
Final project for CSCI 4831: Sabermetrics at University of Colorado, Boulder
Basketball-information-extraction-from-play-by-play-data
Project about information extraction from play-by-play data 🏀
pinn_projectile
Physics Informed Neural Network (PINN) for a projectile motion.
socceraction
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
burned-area-detection
Detection of burned areas using deep learning from satellite images
mlb-youtube
MLB-YouTube dataset, code and models for fine-grained activity recognition (CVsports 2018)
Pybaseball-Pandas-and-Python-for-DIY-Sabermetrics
You can't download a csv file of all the statcast data thats ever been made available anywhere, but with the code in this repo its very straightforward. On top of that, since you'll already be using python and pybaseball in order to download gigabytes worth of statcast data, you might as well play around with creating some new metrics - metrics better than MLB's 'Barrel'
tcga_segmentation
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024