MT Tutorial for the JSALT 2019 Summer School
☆48Jun 24, 2019Updated 6 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:
- Spoken Language Translation System☆14Jun 25, 2019Updated 6 years ago
- Neutron: A pytorch based implementation of Transformer and its variants.☆65Aug 10, 2023Updated 2 years ago
- ☆31Jun 13, 2019Updated 7 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
- ☆84Jul 5, 2021Updated 4 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☆368Nov 16, 2016Updated 9 years ago
- ☆12Sep 11, 2019Updated 6 years ago
- Code for the paper Faster Phrase-Based Decoding by Refining Feature State☆14Jan 9, 2023Updated 3 years ago
- Code for "On Long-Tailed Phenomena in NMT".☆10Jan 10, 2021Updated 5 years ago
- Efficient Low-Memory Aligner☆146Jan 15, 2025Updated last year
- Analyzing Uncertainty in Neural Machine Translation☆36Sep 15, 2021Updated 4 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
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 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
- ☆12Oct 9, 2020Updated 5 years ago
- Scraps of random machine learning code☆15Oct 19, 2016Updated 9 years ago
- Artificial Intelligence with Deep Learning (1st edition, Spring 2019)☆12Oct 30, 2019Updated 6 years ago
- modlm: A toolkit for mixture of distributions language models☆27Feb 20, 2018Updated 8 years ago
- Code for the collection and analysis of the MTNT dataset☆56Apr 2, 2019Updated 7 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Jul 8, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆44Aug 30, 2019Updated 6 years ago
- Web page for our tutorial on latent structure for NLP☆47Sep 1, 2019Updated 6 years ago
- Code for Unsupervised Discovery of Multimodal Links in Multi-Image/Multi-Sentence Documents☆30Jul 22, 2020Updated 5 years ago
- ☆18Oct 5, 2017Updated 8 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
- 2019 NAACL NLI with Deep Learning tutorial site.☆31Jul 3, 2019Updated 6 years ago
- Codes for <Kernelized Bayesian Softmax for Text Generation> in NeurIPS 2019☆16Nov 20, 2019Updated 6 years ago
- Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019☆21Jan 11, 2020Updated 6 years ago
- Neural macine translation soft alignment visualisations for web and command line☆73Aug 19, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Apr 22, 2019Updated 7 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
- ☆15Apr 20, 2018Updated 8 years ago
- c++ mosestokenizer☆18Mar 13, 2024Updated 2 years ago
- All Model summary in PyTorch similar to `model.summary()` in Keras☆89Apr 24, 2019Updated 7 years ago
- Larger-Context NMT☆13Aug 20, 2017Updated 8 years ago
- A list of Neural MT implementations☆364Jul 27, 2022Updated 3 years ago