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An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Modern Pure Go implementation of the HDF5 file format

  • go
  • golang
  • hdf5
  • hdf5-format

A implementation of Shor's algorithm written in Python calling Q# for the quantum part

  • qsharp
  • python3

Java reimplementation of Python's scikit-learn with behavioral compatibility, numerical accuracy, and idiomatic Java design