kamilseghrouchni Goto Github PK

adventofcode-2023

Repository for my solutions to the advent of code 2023

cppcourse-brunel

•Neural network simulation from : "Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons" by Nicolas BRUNEL. •C++ Object Oriented based project with Python use for statistics

ee559-project1-

Different network architectures were explored for classification of MNIST digit pairs for Deep Learning EEE-559 EPFL. Standard CNN, baseline MLP, Siamese CNN, Siamese MLP. Auxiliary loss, weight sharing, depth effect was assessed. Pytorch and tensorflow based project

ee559-project2-

•Mini autogradfree deep-learning package was designed to build multi-layer perceptrons for binary classification on a toy dataset. •With this framework, networks could be activated by ReLU or tanh, and regularized by invertedDropout. •Training could be performed with two loss functions(Mean-square error (MSE), cross-entropy) as well as two optimizers (SGD with or without momentum, Adam)

fastbook

The fastai book, published as Jupyter Notebooks

genomic--simulation

•Simulate genotypes evolution through generations. •Simulate genetic information exchange among populations based on the Wright-Fisher model. •Natural selection, mutation, bottleneck and migration effects simulated. •Object Oriented C++based and Python for statistical analysis. Voir la certification Population genomics simulation following the Wright-Fischer model

getting-started-with-git-and-github

Explaining Git and GitHub.

jbrowse-components

Source code for JBrowse 2, a modern React-based genome browser

kamilseghrouchni

Config files for my GitHub profile.

kamilseghrouchni.github.io

•R based project •Kaplan-Meier survival estimate •Cox Model Assumptions •Cox Proportional-Hazards Model

masterthesistemplate

EPFL Master Thesis LaTeX template for SV students

ml_course

EPFL Machine Learning Course, Fall 2019

recommendersystem-m1

Baseline Recommendation with Global Averaging for Milestone 1 for CS-449 Systems for Data Science at EPFL, spring semester 2021.

recommendersystem-m2

Neighbourhood-based Personalized Recommendation with k-NN for Milestone 2 for CS-449 Systems for Data Science at EPFL, spring semester 2021.

recommendersystem-m3

Optimization, Scaling, Economics for Milestone 3 of the Recommender System project for CS-449 Systems for Data Science at EPFL, spring semester 2021.

reinforcementpong

Policy gradient neural network using the REINFORCE algorithm. •Baselines with a learned value network. •Keras, Pygame based project

robustjourneyplanner

My group's implementation of a SBB Robust Journey Planner for Zürich area. A project for COM-490 Lab in Data Science at EPFL, spring semester 2021.

sophia-ddm-trusight