Parents (Total: 4)
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key |
Value |
MD5 | 234D46FA776F57C8AFA2BC6BDE2FFBFC |
PackageArch | noarch |
PackageDescription | Theano is a Python library that allows you to define, optimize, and
evaluate mathematical expressions involving multi-dimensional arrays.
Theano features:
* tight integration with numpy - Use numpy.ndarray in Theano-compiled
functions.
* transparent use of a GPU
* symbolic differentiation - Let Theano do your derivatives.
* speed and stability optimizations – Get the right answer for log(1+x)
even when x is really tiny.
* dynamic C code generation - Evaluate expressions faster.
* extensive unit-testing and self-verification – Detect and diagnose
many types of mistake. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python2-Theano |
PackageRelease | lp152.2.1 |
PackageVersion | 1.0.4 |
SHA-1 | 45AEE2F5823D137AB7EFA3CF8392E0B58FA6453F |
SHA-256 | 4F3130CBE9E96026F9D409778E28B207BA3525E1C0978C83E9D60889FC0C807F |
Key |
Value |
MD5 | 66B7927306240FBC970A8D4D8BF7BBBF |
PackageArch | noarch |
PackageDescription | Theano is a Python library that allows you to define, optimize, and
evaluate mathematical expressions involving multi-dimensional arrays.
Theano features:
* tight integration with numpy - Use numpy.ndarray in Theano-compiled
functions.
* transparent use of a GPU
* symbolic differentiation - Let Theano do your derivatives.
* speed and stability optimizations – Get the right answer for log(1+x)
even when x is really tiny.
* dynamic C code generation - Evaluate expressions faster.
* extensive unit-testing and self-verification – Detect and diagnose
many types of mistake. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python2-Theano |
PackageRelease | bp153.1.15 |
PackageVersion | 1.0.4 |
SHA-1 | F7EBC178FA8766A4FB3C3B9C8D84DBDE6E2124A2 |
SHA-256 | FCD632947BD25AF53C6E30441D480890E07FC913EC135C0E0957F3348BD12C4D |
Key |
Value |
MD5 | 4875215619DA4BBEB715A87A6CB03A6C |
PackageArch | noarch |
PackageDescription | Theano is a Python library that allows you to define, optimize, and
evaluate mathematical expressions involving multi-dimensional arrays.
Theano features:
* tight integration with numpy - Use numpy.ndarray in Theano-compiled
functions.
* transparent use of a GPU
* symbolic differentiation - Let Theano do your derivatives.
* speed and stability optimizations – Get the right answer for log(1+x)
even when x is really tiny.
* dynamic C code generation - Evaluate expressions faster.
* extensive unit-testing and self-verification – Detect and diagnose
many types of mistake. |
PackageName | python2-Theano |
PackageRelease | lp150.2.3 |
PackageVersion | 1.0.4 |
SHA-1 | 34447F69655649F58A4D31E19AD20815EE662ECB |
SHA-256 | 16323B7D8EE3BE46FCAEC591324D2BA9B5306974BB282E7EB8EB37E36526F219 |
Key |
Value |
MD5 | 86B4EA32610EA8B1F7957C333B4672F7 |
PackageArch | noarch |
PackageDescription | Theano is a Python library that allows you to define, optimize, and
evaluate mathematical expressions involving multi-dimensional arrays
efficiently. Theano features:
* tight integration with NumPy – Use numpy.ndarray in Theano-compiled functions.
* transparent use of a GPU – Perform data-intensive computations much faster than on a CPU.
* efficient symbolic differentiation – Theano does your derivatives for functions with one or many inputs.
* speed and stability optimizations – Get the right answer for log(1+x) even when x is really tiny.
* dynamic C code generation – Evaluate expressions faster.
* extensive unit-testing and self-verification – Detect and diagnose many types of errors.
Theano has been powering large-scale computationally intensive
scientific investigations since 2007. But it is also approachable
enough to be used in the classroom. |
PackageMaintainer | eatdirt <eatdirt> |
PackageName | python2-theano |
PackageRelease | 1.mga7 |
PackageVersion | 1.0.4 |
SHA-1 | 8B910D977A2B7187B8429F3697C5F10F594E3460 |
SHA-256 | 76F5CA4CD0F85AE967A77CE9F0FFC34F2467F5B20ABAEF103536C7638712D7F5 |