🔧 Streamline AI agents with this flexible prompt template and task specification project for effective instruction and memory management.

Experiment, data, and analysis code for "Text embedding models yield detailed conceptual knowledge maps derived from short multiple-choice quizzes" by Paxton C. Fitzpatrick, Andrew C. Heusser, and Jeremy R. Manning

Attention is all you need implementation

This project implements a hierarchical deep learning approach for recognizing group activities in videos. The core idea is to model both individual person actions and group-level activities using temporal dynamics captured by LSTM networks.

CLP(Set) in miniKanren

gpt-2 reincarnate architecture for reddit posts.

A modern PyTorch implementation of hierarchical deep temporal models for group activity recognition

A PyTorch reimplementation of OpenAI’s GPT OSS model. Designed for research, experimentation, and learning, featuring MoE layers, mixed-precision training, and modular components for easy customization.

llama-2 from scratch — a clean, educational pytorch implementation of the llama-2 transformer architecture. features grouped query attention (gqa), rotary position embeddings (rope), kv caching, and swiglu activation. run easily on google colab and experiment with your own datasets.

ONNLab is a framework and project for developing obfuscated neural networks, offering full control over training and inference, flexible architecture configuration, and seamless integration of custom components. Its core principle is systematic yet highly flexible design, enabling implementation of any architecture or training strategy.

Implementation of Tversky Neural Networks, from Doumbouya et al. (2025), in PyTorch .

program synthesis with neuro-symbolic differentiable interpreters

replication of "An Image is worth 16x16 words" paper for famous cifar-10 datasets and got well accuracy with less configurations.

Personal study and implementation of the "Evolution of Heuristics" paper using LLMs to generate heuristic algorithms.

A modern implementation of ECCV 2018 paper: "Hierarchical Relational Networks for Group Activity Recognition and Retrieval".

A multi-label text classifier based on PLM-ICD paper

Reproducing Bengio et al. 2003 paper "A Neural Probabilistic Language Model".

Pytorch-notebooks

Naive implementations of deep reinforcement learning algorithms

Showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.