jepa-agent
This name is reserved for the Agentic Learning AI Lab's jepa-agent package
(New York University). jepa-agent: training and planning with action-conditioned JEPA world models.
This 0.0.0 release is a placeholder and contains no functionality. The project is developed at https://github.com/agentic-learning-ai-lab/jepa-agent.
Metadata
Release files for jepa-agent 0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jepa_agent-0.0.0.tar.gz | 751 Bytes | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jepa_agent-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.1 kB
Release files / jepa_agent-0.0.0.tar.gz
| Download URL | jepa_agent-0.0.0.tar.gz |
|---|---|
| Size | 751 Bytes |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/7.0.0 CPython/3.12.13
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Release files / jepa_agent-0.0.0-py3-none-any.whl
| Download URL | jepa_agent-0.0.0-py3-none-any.whl |
|---|---|
| Size | 1.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
26a3ac23dc847fa1ac59fc158280d1e338a60e6219cb4b3a95bb0867be84c820
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BLAKE2b-256 checksum How to use checksums |
eee53445bdcb7a9150e3ced0eb1f168e248eed8435dde8b51a05ce34cc4dce08
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
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