Differentiable architecture search for convolutional and recurrent networks

A Modern C++ Data Sciences Toolkit

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

Keras implementation of BERT with pre-trained weights

A modular RL library to fine-tune language models to human preferences

End-to-end ASR/LM implementation with PyTorch

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Curso práctico: NLP de cero a cien 🤗

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

The most accurate natural language detection library for Go, suitable for short text and mixed-language text

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".

Codes, datasets, and explanations for some basic natural language tasks and models.

INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.