marian-nmt / amun
Fast stand-alone C++ decoder for RNN-based NMT models
☆25Updated 3 years ago
Related projects: ⓘ
- int8_t and int16_t matrix multiply based on https://arxiv.org/abs/1705.01991☆63Updated 8 months ago
- Utilities for manipulating finite state transducers with the OpenFst library.☆30Updated 6 years ago
- Library and command line utility to do approximate string matching of a source against a bitext index and get matched source and target.☆45Updated 4 months ago
- A GPU language model, based on btree backed tries.☆29Updated 6 years ago
- Examples, tutorials and use cases for Marian, including our WMT-2017/18 baselines.☆78Updated last year
- A C++ library implementing fast language models estimation using the 1-Sort algorithm.☆17Updated last year
- A Translation Task using TurboTransformers☆11Updated 3 years ago
- Helsinki Neural Machine Translation system☆29Updated 3 years ago
- CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++☆21Updated 5 years ago
- Read-only unofficial mirror of OpenFst☆41Updated 2 years ago
- CURRENNT -- CUDA-enabled machine learning library for recurrent neural network☆16Updated 4 years ago
- Spoken Language Translation System☆14Updated 5 years ago
- Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing☆22Updated 7 years ago
- An Implementation of Transformer (Attention Is All You Need) in DyNet☆62Updated 9 months ago
- Deep learning model of machine translation using attentional and structural biases☆13Updated 7 years ago
- Corpus preprocessing☆95Updated 6 months ago
- ☆14Updated 7 years ago
- GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..☆25Updated 4 years ago
- Code for the paper 'Weighting Finite State Transductions with Neural Context', Pushpendre Rastogi, Ryan Cotterell, Jason Eisner☆28Updated 5 years ago
- Fast Neural Machine Translation in C++ - development repository☆255Updated last month
- c++ mosestokenizer☆16Updated 6 months ago
- CS224S Course Project☆14Updated 10 years ago
- A toolkit for producing n-gram language models. The highlights are the implementation of Kneser-Ney growing and revised Kneser pruning me…☆40Updated 2 weeks ago
- Read-only unofficial mirror of the OpenGrm NGram Library☆8Updated 5 years ago
- Python implementation of Levenshtein distance and Levenshtein automata matching☆27Updated 5 years ago
- ☆31Updated last year
- CUDA implementation of hidden Markov model training and classification☆29Updated 6 years ago
- Deep neural network framework (C/C++/CUDA).☆31Updated 9 years ago
- Fast Neural Machine Translation in C++ - development repository☆20Updated 4 months ago
- Highly specialized crate to parse and use `google/sentencepiece` 's precompiled_charsmap in `tokenizers`☆18Updated 2 years ago