Differentiable architecture search for convolutional and recurrent networks
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Updated
Jan 3, 2021 - Python
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.
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
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"
Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
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)
[ICLR 2026] Official PyTorch Implementation of RLP: Reinforcement as a Pretraining Objective
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