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144006

Grid cell spatial firing models (Zilli 2012)

accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

active-inference-capsule

Implementation of an active inference capsule

bachelor-thesis

blog

The repo for my blog posts

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

cann_base

Basic Implementation of a Continuous-attractor Neural Network

deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deepactiveinference

Code for the paper Deep Active Inference as Variational Policy Gradients.

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

deeplearning

Implement deep neural network from scratch in Python

desom

:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

dionysus

Library for computing persistent homology

doubly-stochastic-dgp

Deep Gaussian Processes with Doubly Stochastic Variational Inference

dpsom

Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'

dreamerv2

Mastering Atari with Discrete World Models

dreimac

Dimension Reduction with Eilenberg-MacClane Coordinates

dropout_tutorial_in_pytorch

Dropout as Regularization and Bayesian Approximation

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

fealvm

fep

gamma-models

Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"

gcc

Generalized Circular Coordinates

generalising-structural-knowledge

gp-rnn_uai2019

Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks", Qi She, Anqi Wu, UAI2019

gradcem

Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

grid-cell-continuous-attractor-models

grid-cell-path

Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)

grid-pattern-formation

repository for Neurips 2019 publication code