The SNN field's librarian is very much on the job

What it does

This is an awesome-list, not software: a running bibliography of spiking neural network research, organized by year and venue. It tracks SNN papers from the big ML conferences (NeurIPS, ICML, ICLR, CVPR, AAAI, and friends) as well as Nature, Science, and Cell, with links to papers and code repositories. Updates are logged in a news section going back to 2023, and the maintainers accept additions via pull request.

The interesting bit

The update cadence is the real story. The 2026 entries alone cover roughly 60+ papers across AAAI, ICLR, and ICML — evidence that spiking networks have moved from niche curiosity to a steady presence at mainstream venues. The list doubles as a trend tracker: spiking transformers, ANN-to-SNN conversion, and fully spiking language models dominate recent entries.

Key highlights

• Covers top ML conferences plus Nature/Science/Cell — the “CNS” tier most awesome-lists ignore
• Actively maintained, with dated news entries from 2023 through 2026
• Includes code links where available, not just citations
• Recent entries reflect the field’s shift toward spiking transformers and LLMs (e.g., SpikingLM, SpikeVLA)
• Open to community contributions via pull request

Caveats

• It’s a link list, not a library — no tooling, no benchmarks, no commentary on individual papers
• The README is truncated in places, so coverage of older years and the websites section is hard to fully assess

Verdict

If you research or follow neuromorphic computing, this is a cheap way to stay current — bookmark it. If you wanted frameworks or tutorials, look elsewhere (the topics point at SpikingJelly for that).