Mahdisadjadi/arxivscraper
A python module to scrape arxiv.org for a date range and category
Data Science/ML/AI, Physics Ph.D.
Repositories
Mahdisadjadi/ASU-Thesis-Format
ASU Thesis Format
Mahdisadjadi/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Mahdisadjadi/NewsDejaVu.github.io
Mahdisadjadi/Pebble-Game
A code code implement of paper "An Algorithm for Two-Dimensional Rigidity Percolation: The Pebble Game"
Mahdisadjadi/hugo-academic
An academic staff/student website theme for Hugo
Mahdisadjadi/mahdisadjadi.github.io
personal webpage
Mahdisadjadi/UChicago_SummerSchool_2022
Notebooks for UChicago Data Science Summer School lecture
Mahdisadjadi/spark-enforce-nullity
Enforce nullity of a column using schema
Mahdisadjadi/ant-design
An enterprise-class UI design language and React UI library
Mahdisadjadi/virtual-people-common
This repository is to provide a place to put items that are common across all other virtual people repositories.
Mahdisadjadi/Mahdisadjadi
My Profile's Repository
Mahdisadjadi/academia-hugo
Academia Hugo theme is forked from Hugo Academic Template.
Mahdisadjadi/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Mahdisadjadi/Cookbook
The Data Engineering Cookbook
Mahdisadjadi/pytorch-Deep-Learning
Deep Learning (with PyTorch)
Mahdisadjadi/MFDFA
Multifractal Detrended Fluctuation Analysis in Python
Mahdisadjadi/py-fmas
Ultrashort optical pulse propagation in terms of forward models for the analytic signal
Mahdisadjadi/zeus
⚡️ zeus: Lightning Fast MCMC ⚡️
Mahdisadjadi/jax-md
Differentiable, Hardware Accelerated, Molecular Dynamics
Mahdisadjadi/kmeans
Mahdisadjadi/supervising-ui
Web UI for labelling dataset for supervised learning.
Mahdisadjadi/dask-tutorial
Dask tutorial
Mahdisadjadi/notes
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Mahdisadjadi/Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
Mahdisadjadi/shap
A game theoretic approach to explain the output of any machine learning model.
Mahdisadjadi/NiaPy
Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/
Mahdisadjadi/LiteratureDL4Graph
Mahdisadjadi/deeplearning-models
A collection of various deep learning architectures, models, and tips
Mahdisadjadi/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk