Glenn Matlin's Projects
algorithm templates and leetcode examples in Python3, you can learn many python tricks too.
📖 A curated list of resources dedicated to Machine Learning for Systems research
Code for using Qtorch+ and reproduce Conga2022 results
PyTorch implementation of COVID-Net https://github.com/lindawangg/COVID-Net
Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
Utility for making Spot Instance root disk persistence behave like On Demand instances.
Tensor library for machine learning
Solutions for HackerRank challenges
This work focuses on predictive mortality analysis, through the identification of patterns in heart beats of patients in the intensive care unit (ICU). As a data source, MIMIC III is used, where the patient information is found in the ICU, these data are transformed into graphs, later the possible patterns of beats are located between all the patients, through the frequent graph mining, reduce these patterns using Non-Negative Matrix Factorization (MFN) and group the patients by their characteristics. In the end, using logistic regression identifies the probability that each of these groups of patients have to die.
Notes for Introduction to Statistical Learning ... in Python
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Simplify running a Redshift UNLOAD command to generate headers
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
PositNN - Framework for training and inference with neural nets usings posits
Python utilities
Low Precision Arithmetic Simulation in PyTorch - extension for posit and beyond
Files for Udemy Course on Algorithms and Data Structures