kourouklides

artificial_neural_networks

A collection of Methods and Models for various architectures of Artificial Neural Networks

bayesian_uncertainty_adversaries

Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs

Biography

Biography of Ioannis Kourouklides

Publications

List of publications

av_hubert

A self-supervised learning framework for audio-visual speech

hypercl

Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

hypnettorch

Package for working with hypernetworks in PyTorch.

SRNN-Brain-Modelling-Toolbox

Spatiotemporal Dynamics in Spiking Recurrent Neural Networks using Optimization-based Modelling for EEG signals

Awesome-Efficient-PLM

Must-read papers on improving efficiency for pre-trained language models.

awesome-grounding

awesome grounding: A curated list of research papers in visual grounding

Awesome-model-compression-and-acceleration

awesome-model-compression-and-acceleration-1

a list of awesome papers on deep model ompression and acceleration

BertGCN

CLCL

CN-DPM

Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."

CoSCL

Official Implementation of CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV2022).

dalle-mini

DALL·E Mini - Generate images from a text prompt

ee046211-deep-learning

Jupyter Notebook tutorials for EE 046211 Deep Learning course at the Technion

icons

Wise Web Icons (part of Neptune Design System)

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

llmcord

A Discord AI chat bot | Choose your LLM | GPT-4 Turbo with vision | Mixtral 8X7B | OpenAI API | Mistral API | LM Studio | Streamed responses | And more 🔥

Model-Compression-Papers

Papers for deep neural network compression and acceleration

nn_physical_concepts

pilotta-3

Implementation of a multiplayer card game

provisioning-bash

Provisioning scripts written by bash

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

shellshocker-pocs

Collection of Proof of Concepts and Potential Targets for #ShellShocker

SSQL-ECCV2022

PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)

StochLWTA-ML

Code Implementation for Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017