Wheelodex » Projects » xtgen

xtgen

View on PyPI — Reverse Dependencies (0)

0.0.10 xtgen-0.0.10-py3-none-any.whl

Wheel Details

Project: xtgen
Version: 0.0.10
Filename: xtgen-0.0.10-py3-none-any.whl
Download: [link]
Size: 27626
MD5: 40ba4eda3045d803da5f01a4f8cccaaf
SHA256: 156281393436cb998b373ab1abc007dafa93222c260dc22336fa76ece019c47d
Uploaded: 2019-07-15 23:54:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: xtgen
Version: 0.0.10
Summary: A cmdline tool for generating code to train ML models, using latest research datasets and architectures
Author: Roland Fernandez
Author-Email: rfernand[at]microsoft.com
Home-Page: https://github.com/rfernand2
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: numpy
Requires-Dist: arrow
Requires-Dist: toml
Description-Content-Type: text/markdown
[Description omitted; length: 95 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
xtgen/__init__.py sha256=Jilf9lx0oah9ZLp8A2EmbAE-4NjUUMOM2dgtLlumUAw 164
xtgen/cmd_line.py sha256=K5N2KUW0YnFsQN4SlQ3jbWuxJXfXl_iMS83iyKh6ENM 13105
xtgen/config.py sha256=worP9MRCp-lx3L8JV7-JqkisjrbCQenMQfVUtcipxn4 3910
xtgen/default_config.toml sha256=dYalVF_3bVdoL-LQwH9PZKxBxzmSZX6xjGfLfuOb_xo 1283
xtgen/help.py sha256=4-NS4udCHbd70j5VzYx3AJJjwfqNKqFpA6crud9a1xI 3664
xtgen/keras_gen.py sha256=U7q5_wkq9_exlguAe5aTZvZzutFQx3TcxtFHUGyEffw 923
xtgen/pytorch_gen.py sha256=-tzVkN1PCFV_82DopesKSY70qnw06gFG4eSUgmxaVlg 1026
xtgen/scanner.py sha256=xHOzHCHSENRp_Ij5zKmnM9QWVflWtAkozexXXvKYyZg 3494
xtgen/utils.py sha256=X8qfYG5mPVBeLog59eiBdBjZBT_Zp20-u7sagK9iR6w 22804
xtgen/assets/keras_assets/mnist/README.md sha256=uH4HXrT5WnmIIzoXhDD3wyZo_Yv5NnjOEVA7HlXrW1k 82
xtgen/assets/keras_assets/mnist/requirements.txt sha256=0kS-jXkuQoKOcUThPTJlmtVWzcUO9iXToMsrpfoBipI 18
xtgen/assets/keras_assets/mnist/train.py sha256=_Xv6TzzBQvTj4j5wmKu0jWhatDrEGRry4CfN7pNEUL0 2114
xtgen/assets/pytorch_assets/mnist/README.md sha256=JeEXW5vdU7gNHCDtDjWKfB0jQigNTEg-g8M48xn9SDo 153
xtgen/assets/pytorch_assets/mnist/requirements.txt sha256=AFy8ZgTDZ3J3bU4RBMwKs-KGnx-rC_u701QFknkvcQg 18
xtgen/assets/pytorch_assets/mnist/train.py sha256=bx2_evR0CJCszZDe9MMxQYdKsOTzq2Bq8EH_iaJ6iLk 4944
xtgen/assets/pytorch_assets/snli/README.md sha256=sQkk6TBza-le6CYtXGk0pVbbbU8-EuT82ERVfYP7JAc 152
xtgen/assets/pytorch_assets/snli/model.py sha256=Atx6R9Bj4IS9CkMiSUBSK8hip8VA9rHGT9Km7CLKQy0 2654
xtgen/assets/pytorch_assets/snli/requirements.txt sha256=Xi-sdTmXX_LhE5rsDulJXuC9C8wpBRhfoKahllJmrHI 22
xtgen/assets/pytorch_assets/snli/train.py sha256=4JMeRW2_bHKSVdfeqr0j1yoXhtlvRYAZOzkMzpJy2DE 5223
xtgen/assets/pytorch_assets/snli/util.py sha256=B_k-_uzy-AjP70SHc1JxIW-rbbtOJCTYaeislX9C2G8 1997
xtgen-0.0.10.data/scripts/run_xtgen.py sha256=1SrJpSlb9QDA9K4YEMDyQOr2-Lkx9gQNygjaQ--a36k 51
xtgen-0.0.10.data/scripts/xtgen sha256=sfKRwW2krTFFKkejVaaqrfNiSlQyJMTpNOc2_oEKkk0 81
xtgen-0.0.10.data/scripts/xtgen.bat sha256=18_VMungkiULMwo_wdFr4A7WmgdKBGeTc8_BnzLgjUY 29
xtgen-0.0.10.dist-info/METADATA sha256=IXcLsltFskGIyw5dCPnQQpL4Em5oMIiLIXLqL9XT72s 644
xtgen-0.0.10.dist-info/WHEEL sha256=S8S5VL-stOTSZDYxHyf0KP7eds0J72qrK0Evu3TfyAY 92
xtgen-0.0.10.dist-info/top_level.txt sha256=vaZGhBJsXGLsBWHHiGAaL-IfbsHGc0ZJfHjkxfUFHxE 6
xtgen-0.0.10.dist-info/RECORD — —

top_level.txt

xtgen