Commits · 5f34252767261dca6056dc27249e241f06cc9700 · OpenDAS / Fairseq

23 Jul, 2019 1 commit

Update README.md · 208295df

Myle Ott authored Jul 23, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/899

Differential Revision: D16448602

Pulled By: myleott

fbshipit-source-id: afd1a1b713274b6328150cd85d7f8a81833597aa

208295df

19 Jul, 2019 1 commit

Improve interactive generation (support --tokenizer and --bpe) · 8af55542

Myle Ott authored Jul 19, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/734

Differential Revision: D16377044

Pulled By: myleott

fbshipit-source-id: 37d5553d76aa7c653113fec089f59710281c31d7

8af55542

30 May, 2019 1 commit

Update MoE README · 75cc8821

Myle Ott authored May 30, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/619

Differential Revision: D15562983

Pulled By: myleott

fbshipit-source-id: 9240f56f18c87120b7d38e0db374d24a55999395

75cc8821

29 Apr, 2019 1 commit

Update comments and citations · 849605a0

Myle Ott authored Apr 29, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/676

Differential Revision: D15114128

Pulled By: myleott

fbshipit-source-id: b11dde77b2f2610d33649101aea03fb5a3eeb56a

849605a0

28 Feb, 2019 1 commit

Add test for mixture of experts · bc919276

Myle Ott authored Feb 28, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/543

Differential Revision: D14259481

Pulled By: myleott

fbshipit-source-id: fcb0a150b8e851cf86ea5ed1f083f56e1600588e

bc919276

23 Feb, 2019 1 commit

Update README for Mixture of Experts paper · 392bdd6c

Myle Ott authored Feb 22, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/522

Differential Revision: D14194672

Pulled By: myleott

fbshipit-source-id: 4ff669826c4313de6f12076915cfb1bd15289ef0

392bdd6c

22 Feb, 2019 1 commit

Add code for mixture of experts (#521) · 4294c4f6

Myle Ott authored Feb 22, 2019

Summary:
Code for the paper: [Mixture Models for Diverse Machine Translation: Tricks of the Trade (Shen et al., 2019)](https://arxiv.org/abs/1902.07816).
Pull Request resolved: https://github.com/pytorch/fairseq/pull/521

Differential Revision: D14188021

Pulled By: myleott

fbshipit-source-id: ed5b1ed5ad9a582359bd5215fa2ea26dc76c673e

4294c4f6