LDA & Neura based topic modelling library
Project description
Implemented the Smoothed Varational Inference version of Latent Dirichlet Allocation, following David M. Blei et al. 2003
- Complete the Varitaional Inference version for batch & online LDA [80%]
- Following the original LDA Paper: [https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf]
- Folloing the Online LDA Papaer: [https://papers.nips.cc/paper_files/paper/2010/file/71f6278d140af599e06ad9bf1ba03cb0-Paper.pdf]
- Extend the library to support neural varaiaitonal inference
- Following this ICML paper [https://arxiv.org/pdf/1511.06038.pdf]
- Extend the training to support Reinforcement Learning
- Follwoing this ACL paper [https://aclanthology.org/D19-1350.pdf]
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
TuoTuo-0.1.1.tar.gz
(1.2 MB
view details)
File details
Details for the file TuoTuo-0.1.1.tar.gz.
File metadata
- Download URL: TuoTuo-0.1.1.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e8edffb2f81af4dd0ad47df856db97514f2739f6c298dace05e72cf7045c1b9a |
|
| MD5 | 1f7a5c15ff00741e5a8ca16bd261a4ee |
|
| BLAKE2b-256 | 395015cf643526011dcb116ca1bef02aa9919f77a1ba91ae5ea0363d55b6ace9 |
