Language Modeling
Showing 11 of 11 projects
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
Implementations of memory-augmented neural networks for language modeling, dialogue systems, and question answering tasks.
A method to steer topic and attributes of GPT-2 language models without fine-tuning, enabling controlled text generation.
A benchmark for evaluating protein language models through five biologically relevant semi-supervised learning tasks.
A modern C++ toolkit for text retrieval and analysis, featuring indexing, ranking, topic modeling, classification, and language models.
A Julia package providing standard tools and models for text analysis and natural language processing.
A comprehensive and extensible natural language processing toolkit for Common Lisp, supporting custom pipelines and experimentation.
A flexible and general-purpose ngrams library written in Ruby, supporting various gram types, vocabulary models, and text analysis.
NALP is a Python library for natural language processing and adversarial learning, from embeddings to neural networks.
A language generation model that creates English text similar to Yelp reviews using a recurrent neural network with LSTM layers.
A minimalistic starter pack for finetuning and interacting with HuggingFace Transformers NLG models using PyTorch Lightning.
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