Name: Ken Leidal
Type: User
Company: Genesis Therapeutics
Bio: Machine Learning Engineer at Genesis, ex-PathAI, co-founder of Posh, MIT CompSci BS '17 MEng '18.
I build extensible interfaces around cutting edge ML.
Location: Boston, MA
Ken Leidal's Projects
Simple scalar OLS linear regression in C, compiled to WebASM. Demo project to see how webasm compilation worked.
Custom meal planner that combines all the best parts of existing meal planners and recipe trackers
Website for the MIT Running Club
A set of tools that makes running and logging a series of ML experiments less of a pain.
TensorFlow MNIST autoencoding experimentation
A simple lib to post to pastebin
NPM bug report
A template HTTP server application using Docker, Express.JS, Handlebars, Sequelize, and Postgres.
Backing up and restoring from a postgres docker instance
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Extension Library of Optimized Graph Cluster Algorithms
PyTorch Extension Library of Optimized Scatter Operations
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
Neural network for choosing rooms in my dorm
A PyTorch Implementation of End-to-End Models for Speech-to-Text
Programming Exercises from Sutton Reinforcement Learning Book
Implementing tensorflow tutorials
VGG19 and VGG16 on Tensorflow
A TensorFlow implementation of DeepMind's WaveNet paper
Terraform Google Cloud Platform provider
DDQN from scratch to play tick tack toe, as a learning exercise
A Bootstrap-themed website accepting donations for a Yale running club, which is running a marathon to support a New Haven charity