Peter Mikhael's repositories
mit_deeplearning_bootcamp
Resources for Programming Tutorials
ChemicalGrammar
Repository for work on understanding the chemistry of phase-separation (condensates) in cellular organization.
chemprop
Message Passing Neural Networks for Molecule Property Prediction
ece587posterfigures
Code for making the figures included on my poster of ECE 587 - Information Theory course
idr.mol.feats
Code to compute bulk molecular features from IDR/protein sequences
LipNet-PyTorch
PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)
MIT_6S040
Deep Learning Tutorials for 6.S040
modern-bayes
Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
OncoData_Public
Python wrappers for dicom conversion.
PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
pyKmux
A small and simple python script to automatically renew a kerberos ticket in a tmux session
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
pytorch_geometric
Graph Neural Network Library for PyTorch
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020
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