Requirements
- Generate synthetic data
- View attention maps
- Use torch 2x
- Train inside docker compose with cuda
- Build as package
- Deploy on hugging face
- Automated network testing
- Use lighting, accelerator, tqdm
- Use wandb
- Build the model with pytorch models
- Parameter search (ray tune)
- View easily
- Use mkdocs in black
- Use rerun
1 maintainer
Metadata
1 maintainer
Release files for minirl 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| minirl-0.0.2.tar.gz | 8.4 kB | Without provenance | Details for minirl-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| minirl-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for minirl-0.0.2-py3-none-any.whl |
Total release size: 19.4 kB
Release files / minirl-0.0.2.tar.gz
| Download URL | minirl-0.0.2.tar.gz |
|---|---|
| Size | 8.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.7 Darwin/23.1.0
|
Release files / minirl-0.0.2-py3-none-any.whl
| Download URL | minirl-0.0.2-py3-none-any.whl |
|---|---|
| Size | 10.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.7 Darwin/23.1.0
|
Security for minirl 0.0.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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