A collection of typeset solutions to textbooks I have worked through.

Understand what physics/algorithms do transformers learn internally when trained on planetary motion

Zeid Data Research Labs

Fast, volumetric cell detection. In development.

A Collection of Skills for Claude Code and Claude AI for real-world Usage. Including Claude Code Subagents, Claude Code Commnads

PDNN: A Python Toolkit for Deep Learning. http://www.cs.cmu.edu/~ymiao/pdnntk.html

Towards Reliable Objective Metrics for Evaluating Generative Singing Voice Separation

A collection of 150+ surveys on LLMs

A comprehensive book on neural networks and large language models in NLP

Classification toolbox in Matlab for EEG data.

Agent Zero AI framework

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Stack is a single-cell foundation model that enables in-context learning at inference time.

Code for "Closing the Train-Test Gap in World Models for Gradient-Based Planning"

AIND pipeline for processing extracellular electrophysiology data

Lightweight coding agent that runs in your terminal

The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Code for Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks (NeurIPS 2025)

A simple GUI for automatic and manual alignment across calcium imaging sessions.

Repository for "The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units" Paper

Merged into Gifsicle!

Create, manipulate, and optimize GIF images and animations

Dichotomy of action-potential backpropagation in CA1 pyramidal neuron dendrites (Golding et al 2001)