Maltimore

robotic_nanofabrication

Code for the paper "Autonomous robotic nanofabrication with reinforcement learning"

gridsearch_helper

Some helper scripts to facilitate gridsearches on a compute cluster with a grid engine.

uncommitted-changes-sync

Syncs uncommitted git changes with a remote repository

blog

explaining

Trying to explain classification decisions of artificial neural networks

garage

A toolkit for reproducible reinforcement learning research

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Layerwise-Relevance-Propagation-for-LSTMs

Tensorflow 2.1 implementation of LRP for LSTMs

malis_large_volumes

Computing MALIS pair counts with lower memory usage

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

unsupervised_learning_lecture

An introductory lecture on unsupervised Machine Learning

baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

borg

Deduplicating archiver with compression and authenticated encryption.

Classifying_names

contraction_timer

Childbirth Contraction Timer

FreshRSS

A free, self-hostable aggregator…

gruvbox

Retro groove color scheme for Vim

InhibitoryPlasticity

Finding inhibitory plasticity rules to regulate inhibitory firing

keras

LRP_for_LSTM

Layer-wise Relevance Propagation (LRP) for LSTMs

malis

MALIS structured loss function for supervised learning of segmentation and clustering

neovim

Vim-fork focused on extensibility and usability

numpy

The fundamental package for scientific computing with Python.

orgmode

Orgmode clone written in Lua for Neovim 0.7+.

pdbpp

pdb++, a drop-in replacement for pdb (the Python debugger)

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

scikit-learn

scikit-learn: machine learning in Python

scipy

Scipy library main repository

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

zwatershed

Cython functions for fast watersheds and segmentation metrics