jepa-cpp
This name is reserved for the Agentic Learning AI Lab's jepa-cpp package
(New York University). Python bindings for jepa.cpp, an inference runtime for action-conditioned JEPA world models with planners, on ggml.
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.cpp.
Metadata
Release files for jepa-cpp 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_cpp-0.0.0.tar.gz | 781 Bytes | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jepa_cpp-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.1 kB
Release files / jepa_cpp-0.0.0.tar.gz
| Download URL | jepa_cpp-0.0.0.tar.gz |
|---|---|
| Size | 781 Bytes |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.12.13
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Release files / jepa_cpp-0.0.0-py3-none-any.whl
| Download URL | jepa_cpp-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 |
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BLAKE2b-256 checksum How to use checksums |
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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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