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Neil Scheidwasser's Projects

2020 icon 2020

Materials for Applied Data Analysis CS-401, fall 2020

cs433-project2 icon cs433-project2

CS-433 - Machine Learning (EPFL), Fall 2019, Project 2: Benquet C, Seghrouchni K, Scheidwasser N, "Supervised classification of cell phenotypes from experimental high-throughput screening data"

cs456-project1 icon cs456-project1

Miniproject for CS-456 "Artificial Neural Networks" at EPFL: Learning to play Pong with Deep Reinforcement Learning

deeplabcut icon deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

dlc2ecoli icon dlc2ecoli

Deep learning from videography as a tool for measuring infection in poultry (under review)

gradme icon gradme

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees

hammingdist icon hammingdist

Calculates pairwise distances between gene sequences given in fasta format

ma493-project icon ma493-project

MA493 - Applied Biostatistics (EPFL), Spring 2020: "Survival Analysis of VA Lung Cancer Dataset"

model_sqm_with_rnns icon model_sqm_with_rnns

Lab Immersion in LSPY (EPFL) - Modelling the Sequential Metacontrast Paradigm with Recurrent Neural Networks

neclow icon neclow

Config files for my GitHub profile.

neclow.github.io icon neclow.github.io

Github Pages template for academic personal websites, forked from mistakes/minimal-mistakes

phylo2vec icon phylo2vec

Phylo2Vec: a vector representation for binary trees

phylo2vec_cpp icon phylo2vec_cpp

Phylo2Vec: a vector representation for binary trees (stripped-down version in C++)

serab icon serab

SERAB: a multi-lingual benchmark for speech emotion recognition

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