Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
ANGESTROM

The Intelligence Layer of Humanity. Everything AI. All in One Place.

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom Intelligence Private Limited. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /fangwei123456/spikingjelly
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 6h agoLive · 18m ago

fangwei123456/spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsAlgorithm–hardware co-design of neuromorphic networks with dual memory pathways

Implements

paperSpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer NetworkspaperDendritic In-Context Learning in a Single-Layer Spiking Neural Network

Related across the graph

paperSpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer NetworkspaperDendritic In-Context Learning in a Single-Layer Spiking Neural NetworknewsAlgorithm–hardware co-design of neuromorphic networks with dual memory pathways
Knowledge path·PSpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer Networks→PDendritic In-Context Learning in a Single-Layer Spiking Neural Network→NAlgorithm–hardware co-design of neuromorphic networks with dual memory pathways→Rfangwei123456/spikingjelly

Topics

deep-learningdvsmachine-learningpytorchsnnspiking-neural-networks

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score2058