MT Tutorial for the JSALT 2019 Summer School
☆48Jun 24, 2019Updated 7 years ago
Alternatives and similar repositories for jsalt-2019-mt-tutorial
Users that are interested in jsalt-2019-mt-tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- TER-plus Machine Translation metric.☆31May 23, 2022Updated 4 years ago
- Code examples for CMU CS11-731, Machine Translation and Sequence-to-sequence Models☆35Nov 4, 2019Updated 6 years ago
- Neutron: A pytorch based implementation of Transformer and its variants.☆65Aug 10, 2023Updated 3 years ago
- Codebase accompanying the paper 'Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts', (Emelin, D…☆11Feb 14, 2023Updated 3 years ago
- ☆12Sep 11, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A tutorial about neural machine translation including tips on building practical systems☆369Nov 16, 2016Updated 9 years ago
- Code for the paper Faster Phrase-Based Decoding by Refining Feature State☆14Jan 9, 2023Updated 3 years ago
- Assessing syntactic abilities of BERT☆149May 23, 2019Updated 7 years ago
- Colab notebooks from Launch Data Science at HackCville☆13Jun 14, 2019Updated 7 years ago
- Notes for ICML 2019☆38Jun 17, 2019Updated 7 years ago
- Efficient Low-Memory Aligner☆148Jan 15, 2025Updated last year
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- Examples, tutorials and use cases for Marian, including our WMT-2017/18 baselines.☆81Apr 8, 2023Updated 3 years ago
- ☆12Oct 9, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Companion site for "Analysis Methods in Neural Language Processing: A Survey"☆66Feb 28, 2020Updated 6 years ago
- Making a bridge between NLP models and Brain data☆19Jun 3, 2020Updated 6 years ago
- Artificial Intelligence with Deep Learning (1st edition, Spring 2019)☆12Oct 30, 2019Updated 6 years ago
- Code for the collection and analysis of the MTNT dataset☆56Apr 2, 2019Updated 7 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Jul 8, 2019Updated 7 years ago
- ☆44Aug 30, 2019Updated 7 years ago
- Data collection, alignment and TAUS repository☆24Nov 30, 2017Updated 8 years ago
- Web page for our tutorial on latent structure for NLP☆47Sep 1, 2019Updated 7 years ago
- ☆18Oct 5, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- pialign - A Phrasal ITG Aligner☆24Apr 29, 2019Updated 7 years ago
- Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.☆42Dec 19, 2023Updated 2 years ago
- Codes for <Kernelized Bayesian Softmax for Text Generation> in NeurIPS 2019☆16Nov 20, 2019Updated 6 years ago
- 《算法竞赛进阶指南》(Algorithm Competition Advanced Guide)中例题和习题的练习代码☆17Sep 24, 2018Updated 8 years ago
- Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019☆21Jan 11, 2020Updated 6 years ago
- Implement BERT and MulitPointer-generator on the basis of fairseq☆13Oct 6, 2022Updated 4 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Apr 22, 2019Updated 7 years ago
- ☆33May 15, 2019Updated 7 years ago
- A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.☆86Jul 24, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- An implementation of the Sequence to Sequence model using the Lasagne library (WIP)☆12Aug 11, 2016Updated 10 years ago
- PyTorch source code of NAACL 2019 paper "An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models"☆96Nov 2, 2023Updated 2 years ago
- Larger-Context NMT☆13Aug 20, 2017Updated 9 years ago
- Auxiliary GAN for WE post-specialisation☆24Feb 22, 2019Updated 7 years ago
- All Model summary in PyTorch similar to `model.summary()` in Keras☆89Apr 24, 2019Updated 7 years ago
- Decoding platform for machine translation research☆54Aug 24, 2019Updated 7 years ago
- Hack and Tell @ Saarland University☆19Dec 11, 2017Updated 8 years ago