MT-DNN/mtdnn
Emmanuel Awa 9dec8253f1
Feature/v.0.0.0 (#1)
* MT-DNN Feature release v1.0.0

ignore: IDE meta files
add: initial checkin
feat: make package pip installable
doc: add contribution steps and update readme with additional information
fix: wrong file references
add: package dependencies like PyTorch transformer support
fix import statements
feat: add download utils
feat: add download shell script
doc: update readme with testing instructions
doc: add data downloading and processing step
feat: move fit and predict into MTDNN Model
feat: make logger create a new log file each run
remove: fit and predict functions from the pipeline class
update: remove stale references
doc: fit and predict now on the model object
formatting code snippet
doc: add pip install steps
ignore: checkpoints and log files
add: conda file for env generation
feat: docker file support
doc: README for example and data
add: sample data in json lines format
feat: jupyter example
remove: batch_size is controlled by configuration
feat: jupyter notebook
add: license and copyright
add: git lfs track sample data files
data: add sample data file with git lfs
doc: batch_size is now set in config
cleanup
2020-03-24 13:18:23 -04:00
..
common Feature/v.0.0.0 (#1) 2020-03-24 13:18:23 -04:00
tasks Feature/v.0.0.0 (#1) 2020-03-24 13:18:23 -04:00
__init__.py Feature/v.0.0.0 (#1) 2020-03-24 13:18:23 -04:00
configuration_mtdnn.py Feature/v.0.0.0 (#1) 2020-03-24 13:18:23 -04:00
dataset_mtdnn.py Feature/v.0.0.0 (#1) 2020-03-24 13:18:23 -04:00
modeling_mtdnn.py Feature/v.0.0.0 (#1) 2020-03-24 13:18:23 -04:00
process_mtdnn.py Feature/v.0.0.0 (#1) 2020-03-24 13:18:23 -04:00