ifgovh

SpikeNet

A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.

Anomalous-diffusion-dynamics-of-SGD

code for paper "Anomalous diffusion dynamics of learning in deep neural networks"

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

chisel-template

This is a blank chisel project to be used as a template in large designs

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

Continual-Learning-Benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

CPCV2-PyTorch

Contrastive Predictive Coding for Image Recognition

eligibility_propagation

loss-landscape

Code for visualizing the loss landscape of neural nets

Training-data-driven-V1-model

ifgovh/Anomalous-diffusion-dynamics-of-SGD

code for paper "Anomalous diffusion dynamics of learning in deep neural networks"

ifgovh/Training-data-driven-V1-model

ifgovh/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

ifgovh/loss-landscape

Code for visualizing the loss landscape of neural nets

ifgovh/chisel-template

This is a blank chisel project to be used as a template in large designs

ifgovh/continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

ifgovh/Continual-Learning-Benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

ifgovh/CPCV2-PyTorch

Contrastive Predictive Coding for Image Recognition

ifgovh/eligibility_propagation

ifgovh/eymol

EYMOL: Eye Movements Laws

ifgovh/Human-attention-inspired-DNN

ifgovh/ifgovh.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ifgovh/Recurrent_Attention_Model

Tensorflow implementation of RAM and DRAM networks

ifgovh/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

ifgovh/saliency

Code for http://saliency.mit.edu/

ifgovh/sampling_in_gsm

Network model of V1 simple cells which represent a complete probability distribution by a sequence of multivariate stochastic samples. Perceptual inference in a model of natural images is assumed to result in a posterior probability distribution. The image model used is a Gaussian Scale Mixture model that was shown to be both an effective computer vision model for denoising and compression, but also as a good predictor of the mean activity of simple cells in response to various stimuli.

ifgovh/sgd_tail_index

The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"

ifgovh/spike-based-sampling

Helper library for stochastic LIF sampling in PyNN-supported neural simulators

ifgovh/Spike-Element-Wise-ResNet

Deep Residual Learning in Spiking Neural Networks

ifgovh/SpikeNet-1

A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.

ifgovh/steerable_pyramid

Matlab tools for multi-scale image processing, from Eero Simoncelli's lab (http://www.cns.nyu.edu/~eero/steerpyr/)

ifgovh/stringer-pachitariu-et-al-2018b

Responses of 10,000 neurons to 2,800 natural images

ifgovh/tensortools

A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA

ifgovh/walk_with_sgd

Experiments for the paper "A Walk with SGD" (https://arxiv.org/pdf/1802.08770.pdf)