Pinned Repositories
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
twitter-network-viz
shamPJ's Repositories
shamPJ/twitter-network-viz
shamPJ/BDA-2021-project
Project for CS-E5710 - Bayesian Data Analysis 2021 Aalto
shamPJ/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
shamPJ/ca-signal-deconvolution
Experimenting with Allen data to compare different deconvolution and spike inference methods
shamPJ/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
shamPJ/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.
shamPJ/CTLN-python
python adaptation of CTLN project written in Matlab https://github.com/nebneuron/CTLN-bookchapter
shamPJ/DL-Art-Workshop
Material for workshop
shamPJ/Hands_on_Scientific_Computing
Hands_on_Scientific_Computing Aalto course
shamPJ/het-FL
code for paper "Towards Model-Agnostic Federated Learning over Networks" https://arxiv.org/abs/2302.04363
shamPJ/ifca
Codebase for An Efficient Framework for Clustered Federated Learning.
shamPJ/learning
notes, tasks from online courses, turorials, books
shamPJ/Material-for-MLpython-course
Material-for-MLpython-course
shamPJ/neural-search-biobert
Dash app for neural search with biobert
shamPJ/PersFL
corresponds to paper "Personalized Federated Learning via Active Sampling"
shamPJ/Python_stats_manuscript2
Python code for statistics and figures used in manuscript "Striatal dopamine and dynorphin in Hdc KO mice"
shamPJ/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
shamPJ/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.