Open-source Agent Skills for operating hiloop — forkable agent sandboxes with tree-native observability. CLI-first, cross-harness.

hiloop interceptor wrapper for agent harnesses - captures LLM calls, network traffic, telemetry, and stdio.

VCR recordings for GRPC requests in Python

Intuitive, easy CLIs based on python type hints.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

Reading list for research topics in multimodal machine learning

A system for quickly generating training data with weak supervision

Practical active learning in python

A rewrite of Python's builtin doctest module (with pytest plugin integration) with AST instead of RegEx.

Text preprocessing, representation and visualization from zero to hero.

Benchmark datasets, data loaders, and evaluators for graph machine learning

Repository for benchmarking graph neural networks (JMLR 2023)

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Fastest network node embeddings in the west

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

Lightweight tool to deploy PyTorch models to AWS Lambda

Graph Neural Network Library for PyTorch

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

An advanced crypto trading bot written in Python

TuckER: Tensor Factorization for Knowledge Graph Completion

This was one of my homework assignments in my Data Structures class. It's focus is on Queues implemented as a linked list.

Convolutional Neural Networks on FPGA.

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

Code that can be used in generation of particles and reconstruction of tracks.

Core consonance utilities for scheduling, reporting on, and provisioning VMs for workflows