AXYZdong/awesome-snn-conference-paper
🔥 This repository compiles research papers (from top-tier conferences and journals) and code implementations in the field of Spiking Neural Networks (SNNs). 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。
- Stars
- 472
- Forks
- 29
- Open issues
- 1
- Last push
- 13d ago
About awesome-snn-conference-paper
awesome-snn-conference-paper is a free, open-source AI resource list by AXYZdong, written mainly in HTML. 🔥 This repository compiles research papers (from top-tier conferences and journals) and code implementations in the field of Spiking Neural Networks (SNNs). 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。. It has 472 GitHub stars and 29 forks, and was last updated 13d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- HTML
- Stars
- 472
- Last update
- 13d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-snn-conference-paper FAQ
Is awesome-snn-conference-paper free?
Yes. awesome-snn-conference-paper is open source and free to use. It's released under the MIT license, a standard open-source license.
Does awesome-snn-conference-paper run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-snn-conference-paper need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-snn-conference-paper still maintained?
Yes. It was last updated 13d ago and has 1 open issues on GitHub.
What are alternatives to awesome-snn-conference-paper?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, KG-LLM-Papers, anomaly-detection-resources, h4cker.