🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
PyTorch implementation of AnimeGANv2
React app for client-side image processing, powered by Pillow+Pyodide
My personal website
Various (miscellaneous) datasets
Example repo for github issue, see below:
Submission to https://pytorch.org/hub/
Bringing vtk.js into Dash and Python
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.018534 days, which is highly accurate.
ISO peak load forecasting application
:book: A curated list of resources dedicated to Natural Language Processing (NLP)