Pascal

@PascalIversen · User

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Berlin11 followers23 repositories

Repositories

PascalIversen/drevalpy

DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible.

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PascalIversen/CODE-AE

Coherent Deconfounding Autoencoder (CODE-AE) can extract both common biological signals shared by incoherent samples and private representations unique to each data set, transfer knowledge learned from cell line data to tissue data, and separate confounding factors from them

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PascalIversen/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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PascalIversen/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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PascalIversen/airsim_self_driving_car

Building a convolutional neural network for autonomous driving in a simple virtual environment. The virtual environment is Airsim, an open-source simulation for self-driving cars and drones. I created training data by manually driving in Airsim.

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PascalIversen/mlmed_ranking

Code for the paper "Matching Anticancer Compounds and Tumor Cell Lines by Neural Networks with Ranking Loss"

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PascalIversen/deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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