There are 16 repositories under language-modeling topic.
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!
End-to-end ASR/LM implementation with PyTorch
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
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!
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"
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.
Curso práctico: NLP de cero a cien 🤗
Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
[ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
Neural Networks for Protein Sequence Alignment
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)
基于 Tensorflow,仿 Scikit-Learn 设计的深度学习自然语言处理框架。支持 40 余种模型类,涵盖语言模型、文本分类、NER、MRC、知识蒸馏等各个领域
Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
Full finetuning of large language models without large memory requirements