ContentsΒΆ
Getting Started
Frequently Asked Questions
- About MAMMOTH
- What are the key features and functionalities of the MAMMOTH?
- Are there any specific use cases or domains where MAMMOTH is particularly well-suited?
- What unique approaches or algorithms does MAMMOTH uses?
- What is the development status of MAMMOTH, and are there plans for future enhancements or features?
- How can users contribute to the development of MAMMOTH or report issues with the repository and documentation?
- MAMMOTH and OpenNMT
MAMMOTH features
Scripts
- Build Vocab
- Train
- Configuration
- Data/Tasks
- Vocab
- Pruning
- Embeddings
- Transform/Denoising AE
- Transform/Filter
- Transform/Filter
- Transform/Filter
- Transform/Filter
- Transform/Filter
- Transform/InferFeats
- Transform/SwitchOut
- Transform/Token_Drop
- Transform/Token_Mask
- Transform/Subword/Common
- Transform/Subword/ONMTTOK
- Model-Embeddings
- Model-Embedding Features
- Model- Task
- Model- Encoder-Decoder
- Model- Attention
- Model - Alignement
- Generator
- Attention bridge
- Adapters
- General
- Reproducibility
- Initialization
- Optimization- Type
- Optimization- Rate
- Logging
- Dynamic data
- Translate
- Configuration
- Data/Tasks
- Vocab
- Pruning
- Embeddings
- Transform/Denoising AE
- Transform/Filter
- Transform/Filter
- Transform/Filter
- Transform/Filter
- Transform/Filter
- Transform/InferFeats
- Transform/SwitchOut
- Transform/Token_Drop
- Transform/Token_Mask
- Transform/Subword/Common
- Transform/Subword/ONMTTOK
- Model
- Data
- Beam Search
- Random Sampling
- Reproducibility
- Penalties
- Decoding tricks
- Logging
- Efficiency
- Server