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Manuel Schmidt's Projects

dfg4grn icon dfg4grn

Code for our 2010 Genome Biology paper on "Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate", using Dynamic Factor Graphs for learning gene regulation networks.

dijkstra-cartography icon dijkstra-cartography

Using Dijkstra's algorithm ("finding the shortest paths between nodes in a graph") to draw maps :earth_africa:.

dilation icon dilation

Dilated Convolution for Semantic Image Segmentation

dlfun icon dlfun

Forays into the world of deep learning using TensorFlow

dtnorm icon dtnorm

Random samples from a doubly-truncated Normal distribution.

dwt icon dwt

Using DTW in speech recognition tasks

easyconvnet icon easyconvnet

A simple implementation of convolutional networks in Matlab

ed_lib icon ed_lib

Implementations of edge (ED, EDColor, EDPF), line (EDLines), circle (EDCircles) detection algorithms.

edward icon edward

A probabilistic programming system on TensorFlow. Deep generative models, variational inference.

ets2-sdk-plugin icon ets2-sdk-plugin

ETS2 (Euro Truck Simulator 2) & ATS (American Truck Simulator) SDK plug-in. Telemetry data is shared via SharedMemory/Memory Mapped Files.

eudm_planner icon eudm_planner

Implementation of the paper "Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching".

ffmpeg-python icon ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

fig2frame icon fig2frame

MATLAB function to convert a figure into a high-resolution video frame.

freerex icon freerex

very adaptive optimizers in tensorflow

gaimc icon gaimc

Graph Algorithms in Matlab Code

gjk.c icon gjk.c

Gilbert-Johnson-Keerthi (GJK) collision detection algorithm in 200 lines of clean plain C

groupy icon groupy

Group Equivariant Convolutional Neural Networks

hmmlearn icon hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

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