Machine learned bracketology
Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai
Automated machine learning company report in an interactive ‘PDF style’ from four dimensions: employees, customers, shareholders (owners) and management.
A flexible chip-level simulation platform for nanophotonic neural networks written in Python/NumPy
Cutouts image explorer
This is an interactive tool for visualize and classify multiple images at a time. It running asyncio server in the back end and support up 10,000 images reasonable well.
An eXplainability toolbox for machine learning
A high-level library for emails classification and feature extraction
A Pytorch Implementation of “Neural Speech Synthesis with Transformer Network”
Code for the paper ‘A Biologically Inspired Visual Working Memory for Deep Networks’
PyTorch implementation of TD3 and DDPG for OpenAI gym tasks
High Performance Graph Processing with Postgres and GraphBLAS
Black box hyperparameter optimization made easy.
A library for Spark dataframes from Minio object storage using Select API
An open source python library for scalable Bayesian optimisation.
πflow is a big data flow engine with spark support