Distributed Deep Learning Library for Apache Spark
Project description
BigDL DLlib is a distributed deep learning library for Apache Spark with Keras-style API and Spark ML pipeline support.
See here for more information.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bigdl-dllib-2.3.0.tar.gz
(53.6 MB
view details)
Built Distributions
File details
Details for the file bigdl-dllib-2.3.0.tar.gz
.
File metadata
- Download URL: bigdl-dllib-2.3.0.tar.gz
- Upload date:
- Size: 53.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b515cc5c30d3f3c2aed62bb1347eb2e279cb3f0aae05734bcb97e653d5b7eccb |
|
MD5 | d1fb180a84b050abde5a54aa33eb9e7d |
|
BLAKE2b-256 | 06a47a4f89d3239a2afba8f61d155db1a583e03e0c7853f8e4bad990097b04c0 |
File details
Details for the file bigdl_dllib-2.3.0-py3-none-manylinux1_x86_64.whl
.
File metadata
- Download URL: bigdl_dllib-2.3.0-py3-none-manylinux1_x86_64.whl
- Upload date:
- Size: 53.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f7b4196b7afdc621a0646f0370e25466253f2b01e9d625fc4092eb0b4cadee9b |
|
MD5 | 0def115ff3014c43c44ae3d64b781188 |
|
BLAKE2b-256 | 7b48556911cbfa020ee0cf4ebc889ab7a022ddb86fb8de1b7797572baefdaaa0 |
File details
Details for the file bigdl_dllib-2.3.0-py3-none-macosx_10_11_x86_64.whl
.
File metadata
- Download URL: bigdl_dllib-2.3.0-py3-none-macosx_10_11_x86_64.whl
- Upload date:
- Size: 53.7 MB
- Tags: Python 3, macOS 10.11+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fa2c3189450f494d8425adbf31092b4887667963ca79125efc3073210ed1eb9b |
|
MD5 | d17e24844ff28a2222c29ed72aa49704 |
|
BLAKE2b-256 | 48d2b683f8d393834d4b24316c2ab0eae79b8e488d3345dd711cd551480e89c2 |