Aether-ML
A ground-up deep learning framework featuring vectorized neural network and CNN layers, dual NumPy/CuPy backends, and CUDA/ROCm GPU…
What XERJ indexed
Selected work
“derive 'same' geometry once, in ConvShapeMeta”. 3 files, 205 lines in tests, aether.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
cupydeep-learninggpu-accelerationmachine-learning-frameworknumpy
Example questions
- How does Aether-ML implement cupy?
- Where does Aether-ML handle “derive 'same' geometry once, in ConvShapeMeta”?
- What does aether do in Aether-ML?
The prompt
Paste it into your AI agent. It clones AlexanderSoftCode/Aether-ML at the pinned commit and indexes it on your machine.
Search the GitHub repository AlexanderSoftCode/Aether-ML with XERJ (https://hub.xerj.org/corpus/alexandersoftcode--aether-ml). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/AlexanderSoftCode/Aether-ML Aether-ML && git -C Aether-ML checkout 647c6e189181785dc3e1eb3a3d82225a8f05bb21 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Aether-ML --url http://127.0.0.1:9200 --prefix aether-ml --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Alexander TobiasAI, prompts and agents corporacamelcognitaprompt-engineering-guideMattral/KANXkrishanth7/EveryOFrontiersMindAI/decisionformer
Selected work and consent: the XERJ registry.