Skip to main content

Lightweight python3 library for natural LanGuage Modeling (LGM). Currently, mostly useful for DL/RL experiments with natural language data. Largely based (for now) on the fastai course v3, dl2 (March-April 2019).

Project description

lgm

Lightweight python3 library for natural LanGuage Modeling (LGM). Currently, mostly useful for DL/RL experiments with natural language data.

Largely based (for now) on the fastai course v3, dl2 (March-April 2019). See here for the original notebooks, which focus mostly on vision applications: https://github.com/fastai/course-v3/tree/master/nbs/dl2.

If you are primarily a user of DL models for natural language, you'll most probably want to use the fastai library instead. I built this experimental library because I needed to understand all the code thoroughly to be able to tinker with it, build new models, interface with new (types of) datasets, with various kinds of cognitive models for natural language etc.

To install:

pip3 install lgm

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lgm-0.0.4.tar.gz (23.7 kB view hashes)

Uploaded Source

Built Distribution

lgm-0.0.4-py3-none-any.whl (30.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page