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Differentiable architecture search for convolutional and recurrent networks
A modular RL library to fine-tune language models to human preferences
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. - Professor Yu Liu
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Keras implementation of BERT with pre-trained weights
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A Modern C++ Data Sciences Toolkit
INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
End-to-end ASR/LM implementation with PyTorch
This repository contains a collection of papers and resources on Reasoning in Large Language Models.
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"
A method to fix GPT-3 after deployment with user feedback, without re-training.
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
An Extensible Continual Learning Framework Focused on Language Models (LMs)
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.