Technion-Kishony-lab/data-to-paper
data-to-paper: Backward-traceable AI-driven scientific research
Repository profile
Growing collection of scripts to summarize the scientific literature using large-language models like ChatGPT.
Repository updates
Get generated AllenInstitute/openai_tools development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-02 03:07
4 captures since 2026-05-27
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-02 03:07
requirements.txt
python ecosystem,
16 dependencies
setup.py
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
data-to-paper: Backward-traceable AI-driven scientific research
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
PaperChat - cli, API and ChatGPT plugin to query arXiv's dataset
Locally hosted tool that connects documents to LLMs for summarization and querying, with a simple GUI.
PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
OpenLens AI: A Fully Autonomous Multimodal Research Agent| OpenLens AI:全自主多模态科研智能体