Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

SpinWalk, a framework for Monte-Carlo simulation to model spins random walk within a microvascular network

A Simplified PyTorch Implementation of Vision Transformer (ViT)

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

🏡 GitHub Pages template for personal academic homepage

TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

Code for Kang & Toyoizumi, "Distinguishing examples while building concepts in hippocampal and artificial networks," bioRxiv (2023)

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratch, and testing them on a variety of datasets (transfer learn…

Brain signature patterns, atlases of regions, and meta-analysis masks for neuroimaging data analysis.

Clustering routines for the unit sphere

Low rank adaptation for Vision Transformer

Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"

A repo to download and preprocess the Purchase100 dataset extracted from Kaggle: Acquire Valued Shoppers Challenge

Differentially Private Linear Regresssion

From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.