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alihashemi.github.io

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

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

awesome-federated-learning-on-graph-and-tabular-data

Federated learning on graph and tabular data related papers, frameworks, and datasets.

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-persian-nlp-ir

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

cam-can-preprocessing

Preprocessing of Cam-CAN's MEG/EEG data

curriculum-vitae-cv-and-resume

This is a repository for summarizing my academic and industrial accomplishments including my two-pages resume, detailed CV, and a full list of my publications.

dnn-doa

dugh-neurips-2021

This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

eeg

generates eeg data

federated-xai-uncertainty

This is a repo to collect all useful materials covering federated learning, XAI, and uncertainty estimation in machine learning and deep learning.

fedpa

Federated posterior averaging implemented in JAX

finite-impose-response-filter-layout-design-with-soc-encounter

In this project, we design Finite Impose Response Filter layout with SOC Encounter.

freecodecamp

The https://www.freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.

fun-learning

This repository contains the codes for producing results in the following paper:

hugo-papermod

A fast, clean, responsive Hugo theme.

leetcode-solutions

:octocat: (Weekly Update) Python / C++11 Solutions of All 1240 LeetCode Problems

meg

source localisation of MEG signal

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

pybsbl

The python implementation of the BSBL algorithms for block sparse signal recovery

starter-academic

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

time_series_analysis

implements common ML algorithms for time series data analysis

tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting

webpage

This is the link for my main webpage