Rasmus Berg Palm (rasmusbergpalm)

rasmusbergpalm

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DeepLearningDTU

Rasmus Berg Palm's repositories

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

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jslate

Write your dashboards in pure html/js

recurrent-relational-networks

Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028

evostrat

A library that makes Evolutionary Strategies (ES) simple to use.

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nanograd

A miniscule implementation of reverse mode auto-differentiation

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attend-copy-parse

Code for the paper attend, copy, parse - End-to-end information extraction from documents (https://arxiv.org/pdf/1812.07248.pdf)

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pytorch-lgssm

A Linear Gaussian State Space Model (LGSSM) for pytorch, also known as a Linear Dynamical System (LDS)

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normalization

A seq2seq model for date parsing. Just for fun.

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shapeguard

ShapeGuard allows you to very succinctly assert the expected shapes of tensors in a dynamic, einsum inspired way

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pymc3-quap

Quadratic Approximation for PyMC3

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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slot-attention

Implementation of Slot Attention from GoogleAI

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4xBlue

Factorio mod to increase blue belt speed to 4x yellow belt speed.

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bayes

Bayes data analysis course 02936 at DTU

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DogFood

A C++, header only library for DataDog communication on Windows, Mac, and Linux

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econs

Economy sim

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metrics

:chart_with_upwards_trend: Capturing JVM- and application-level metrics. So you know what's going on.

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openapi-generator

OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)

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process-watcher

Watch Linux processes by polling /proc and notify via email or desktop notification when they complete.

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pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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rasmusbergpalm.github.io

Personal website

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slate

Beautiful static documentation for your API

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sustainable-energy

Make a plan for Denmarks sustainable energy future

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variational-smc

Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)

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