blufzzz

FirstCourseNetworkScience

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

2024_sbi_workshop

deepchaos

Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"

noisy_signal_prop

LH-events

Codes for simulation and data analysis of the submitted paper "Adaptation of spontaneous activity in the developing visual cortex"

infotopopy

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

neurogym

A curated collection of neuroscience tasks with a common interface.

mpn

Meta-learning local synaptic plasticity for continual familiarity detection

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

Computational-NeuroScience

Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

CEBRA

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

chatgpt-arxiv-extension

A browser extension that enhance search engines with ChatGPT

RTD_AE

This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

hebbianCNN

Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

hebbRNN

A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks

shap

A game theoretic approach to explain the output of any machine learning model.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Bio-RRR

Demo code for NeurIPS 2020 paper.

bio-nica

Code for reproducing the experiments in the paper "Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis"

HebbianPCA

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

TensorHebb

code from "Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity"

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

kernel-similarity-matching

degrees-of-freedom

modeconnectivity

mantis

Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks