yudl21132

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

tikzplotlib

:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

ssm

Bayesian learning and inference for state space models

awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

DySAT

Representation learning on dynamic graphs using self-attention networks

dPCA

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

pypsy

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

bonsai

The compiler, IDE, and standard library for the Bonsai visual programming language for reactive systems

tldr

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

ngc-learn

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

recurrent-slds

Recurrent Switching Linear Dynamical Systems

hamux

Hierarchical Associative Memory User Experience

MINI2P_toolbox

The codes, software, models, protocols, and etc. for building and using MINI2P to do the freely-moving recording and analysis. More details can be found in the original paper "Large-scale two-photon calcium imaging in freely moving mice(2021)".

SRDTrans

SRDTrans: Spatial redundancy transformer for self-supervised fluorescence image denoising

predictive-forward-forward

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.

psychmeta

Psychometric meta-analysis toolkit

ecephys_spike_sorting

Modules for processing extracellular electrophysiology data from Neuropixels probes

ijp-imagetoatlas

ABBA - Aligning Big Brains and Atlases (2D sections to 3D atlas registration)

pyhgf

PyHGF: A neural network library for predictive coding

sorn

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

latent-predictive-learning

Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks” bioRxiv 2022

slisemap

SLISEMAP: Combining supervised dimensionality reduction with local explanations

lollipop

Linear Optimal Low Rank Projection

invivo-imaging

Denoising and Demixing Pipeline for in vivo Voltage Imaging Data (SGPMD-NMF)

warhmm