tapparelj/gr-lora_sdr
This is the fully-functional GNU Radio software-defined radio (SDR) implementation of a LoRa transceiver with all the necessary receiver components to operate correctly even at very low SNRs. This wor
- Stars
- 1.0k
- Forks
- 144
- Open issues
- 23
- Last push
- 9mo ago
About gr-lora_sdr
gr-lora_sdr is a free, open-source machine learning tool by tapparelj, written mainly in C++. This is the fully-functional GNU Radio software-defined radio (SDR) implementation of a LoRa transceiver with all the necessary receiver components to operate correctly even at very low SNRs. This wor. It has 1.0k GitHub stars and 144 forks, and was last updated 9mo ago. It's released under the GPL-3.0 license, a standard open-source license.
- License
- GPL-3.0
- Language
- C++
- Stars
- 1,016
- Last update
- 9mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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gr-lora_sdr FAQ
Is gr-lora_sdr free?
Yes. gr-lora_sdr is open source and free to use. It's released under the GPL-3.0 license, a standard open-source license.
Does gr-lora_sdr run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does gr-lora_sdr need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is gr-lora_sdr still maintained?
It was last updated 9mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to gr-lora_sdr?
Similar free, open-source tools include lora-scripts, Fizgig, LoRa_APRS_iGate, lora-rs.