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bda-2021-project

Project for CS-E5710 - Bayesian Data Analysis 2021 Aalto

bda_course_aalto

Bayesian Data Analysis course at Aalto

ca-signal-deconvolution

Experimenting with Allen data to compare different deconvolution and spike inference methods

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

course_cmnp

This is the master code for creating the figures belonging to the course "Computational Modeling of Neuronal Plasticity" created by Florence Kleberg and Prof. Jochen Triesch, and released online for the INCF Learning Portal.

ctln-python

python adaptation of CTLN project written in Matlab https://github.com/nebneuron/CTLN-bookchapter

dl-art-workshop

Material for workshop

hands_on_scientific_computing

Hands_on_Scientific_Computing Aalto course

het-fl

code for paper "Towards Model-Agnostic Federated Learning over Networks" https://arxiv.org/abs/2302.04363

ifca

Codebase for An Efficient Framework for Clustered Federated Learning.

learning

notes, tasks from online courses, turorials, books

material-for-mlpython-course

Material-for-MLpython-course

neural-search-biobert

Dash app for neural search with biobert

python_stats_manuscript2

Python code for statistics and figures used in manuscript "Striatal dopamine and dynorphin in Hdc KO mice"

twitter-network-viz

videoframe_labeling_tool

Short ugly script for frame-to-frame analyses of animal behavior. Uses keyboard input to label video frames with a specific behavior and exports final data as .csv

yolov7-training

A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.