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* Proposal for Random number generators as language constructs (instead of VERBATIM blocks)
* Review use cases from BBP models as well as ModelDB
* Present this during next NEURON meeting
* Start t…
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We are relying on the ModelDB API to downloads models. However we would be able to leverage better the GH API if models were synced between GH and MDB. What is needed?
- [x] Sync all ModelDB models…
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Hi Christian,
I'm a PhD student from the University of Auckland researching ML-based methods for detecting EMRI signals. I've been looking for a fast way to calculate EMRI SNRs so as to get EMRI pa…
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Today we have a very old implementation copy in neuron.
Sundials is now on Github : https://github.com/LLNL/sundials
- Supports CMake integration
- Binary differences to be expected. However tha…
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Converting the loaded model using to_neuron() method takes a long time. Is there any way to Save the neuron_model on disk and load it again? This is for GPT-NeoX.
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Large parts of the model documentation can be generated from the model code, but this seems not to be done consistently. Thing I noticed:
* [x] [iaf_psc_alpha](https://nestml.readthedocs.io/en/latest…
jougs updated
3 months ago
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Converting a model to neuron takes a lot of time, and even though the compilation logs indicate that something is going on, the user doesn't have any clue of how long it will take.
**It would be gr…
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Hi,
I am currently trying to make a large model (YOLO) run on the ESP32-S3 (and later the P4), and since the model (> 2MB) doesn't fit in SRAM and TFLite then wants >5 MB for the arena, I am relegate…
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I ran `RUN_SLOW=true COVERAGE=high RUN_TINY=true USE_VENV=false pytest tests/test_examples.py -v` on neuron 2.15 and ON 2.15 and ran into 2 errors.
1. llama and mistral models both hang. I left …
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### System Info
```shell
Platform:
- Platform: Linux-5.15.0-1056-aws-x86_64-with-glibc2.29
- Python version: 3.8.10
Python packages:
- `optimum-neuron` version: 0.0.24.dev0
- `neuron-…