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-0.1.2.tar.gz
(1.2 MB
view details)
File details
Details for the file TuoTuo-0.1.2.tar.gz.
File metadata
- Download URL: TuoTuo-0.1.2.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 | bf66ec5c21f1a51c8d32310a6febb00655c5db8e4726e0f267ec69d28e7fdb07 |
|
| MD5 | 638c24a5faa79de2761910353228d9ee |
|
| BLAKE2b-256 | b113a6ec3dd000d38560707fd098d5c5676beb66205132944d474515de8823ab |
