MagisV

computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

LLM101n

LLM101n: Let's build a Storyteller

deeplearning-models

A collection of various deep learning architectures, models, and tips

Awesome-HigherOrderGraph

Collection of papers relating data-driven higher-order graph/networks researches.

THyMe

Source code for KAIS (2023) paper "Temporal Hypergraph Motifs" and ICDM 2021 paper "THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting."

msgnet

Tensorflow implementation of message passing neural networks for molecules and materials

DeepHypergraph

A pytorch library for graph and hypergraph computation.

HCPpipelines

Processing pipelines for the HCP

XGBoost-From-Scratch

This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoost works under the hood

MEG-group-decode

Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

cnslab_fmri

CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans

Graph

hcp-utils

Utilities to use HCP and HCP-like data with nilearn and other Python tools

BrainGNN_Pytorch

A preliminary implementation of BrainGNN

Raphtory

Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs)

polyAGM

Package for Property Prediction of Polymers based on Automatically Generated Motifs. We use graph kernel together with probabilistic methods to infer property predictions and their explanations.

nilearn

Machine learning for NeuroImaging in Python

geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

Auto-GPT-Benchmarks

A repo built for the purpose of benchmarking the performance of agents, regardless of how they are set up and how they work.

gptrpg

A demo of an GPT-based agent existing in an RPG-like environment

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

micronaut-udemy

Learn Micronaut - Udemy Course

MineSweepers-Major-Group-Project