Topic: language-modeling Goto Github
Some thing interesting about language-modeling
Some thing interesting about language-modeling
language-modeling,A modular RL library to fine-tune language models to human preferences
Organization: allenai
Home Page: https://rl4lms.apps.allenai.org/
language-modeling,Universal Information Extraction, codes for the NeurIPS-2022 paper: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.
User: chocowu
Home Page: http://haofei.vip/LasUIE-page/
language-modeling,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!
User: dmitryryumin
language-modeling,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!
User: dmitryryumin
language-modeling,[ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
User: drsy
language-modeling,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.
User: egoalpha
Home Page: https://github.com/EgoAlpha/prompt-in-context-learning
language-modeling,Full finetuning of large language models without large memory requirements
User: euclaise
language-modeling,Neural Networks for Protein Sequence Alignment
Organization: flatironinstitute
language-modeling,Web Native language Workbench with Projectional Web Editor
Organization: freon4dsl
Home Page: https://www.freon4dsl.dev
language-modeling,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
User: geyingli
language-modeling,A toolkit for pre-processing large source code corpora
Organization: giganticode
language-modeling,Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
Organization: google-deepmind
Home Page: https://arxiv.org/abs/2403.18802
language-modeling,MozoLM: A language model (LM) serving library
Organization: google-research
language-modeling,End-to-end ASR/LM implementation with PyTorch
User: hirofumi0810
language-modeling,Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
Organization: idsia
language-modeling,Character-Level language models
User: indiejoseph
language-modeling,This repository contains a collection of papers and resources on Reasoning in Large Language Models.
User: jeffhj
language-modeling,A fast LSTM Language Model for large vocabulary language like Japanese and Chinese
User: jiali-ms
Home Page: http://nlpfun.com/ime
language-modeling,Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
User: kmario23
language-modeling,An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
User: l0sg
language-modeling,Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
User: lucidrains
language-modeling,Pre-training of Language Models for Language Understanding
User: lyeoni
language-modeling,M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
User: machelreid
Home Page: https://arxiv.org/abs/2210.07370
language-modeling,A method to fix GPT-3 after deployment with user feedback, without re-training.
User: madaan
language-modeling,Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
User: majumderb
Home Page: https://arxiv.org/pdf/2003.04887.pdf
language-modeling,A Modern C++ Data Sciences Toolkit
Organization: meta-toolkit
Home Page: https://meta-toolkit.org
language-modeling,This tool helps automatic generation of grammatically valid synthetic Code-mixed data by utilizing linguistic theories such as Equivalence Constant Theory and Matrix Language Theory.
Organization: microsoft
language-modeling,MirasText
Organization: miras-tech
language-modeling,[JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
Organization: mit-han-lab
Home Page: https://spatten.mit.edu
language-modeling,Protein sequence classification with self-supervised pretraining
User: nstrodt
language-modeling,Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Organization: p-lambda
Home Page: https://arxiv.org/abs/2111.02080
language-modeling,The most accurate natural language detection library for Go, suitable for short text and mixed-language text
User: pemistahl
language-modeling,LM, ULMFit et al.
User: prajjwal1
language-modeling,Differentiable architecture search for convolutional and recurrent networks
User: quark0
Home Page: https://arxiv.org/abs/1806.09055
language-modeling,Code accompanying our ECCV-2020 paper on 3D Neural Listeners.
User: referit3d
Home Page: https://referit3d.github.io/
language-modeling,XLNet for generating language.
User: rusiaaman
language-modeling,Keras implementation of BERT with pre-trained weights
User: separius
language-modeling,Attentive Federated Learning for Private NLM
User: shaoxiongji
Home Page: https://arxiv.org/abs/1812.07108
language-modeling,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"
User: shmsw25
Home Page: https://arxiv.org/abs/2305.14251
language-modeling,Curso práctico: NLP de cero a cien 🤗
Organization: somosnlp
Home Page: https://somosnlp.org/nlp-de-cero-a-cien
language-modeling,Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Organization: songlab-cal
Home Page: https://www.biorxiv.org/content/10.1101/676825v1
language-modeling,Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)
Organization: songlab-cal
Home Page: https://arxiv.org/abs/1906.08230
language-modeling,Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
User: sunnydreamrain
language-modeling,Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
User: suriyadeepan
language-modeling,Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
User: tonybeltramelli
language-modeling,Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Organization: uber-research
language-modeling,An Extensible Continual Learning Framework Focused on Language Models (LMs)
Organization: uic-liu-lab
language-modeling,Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
User: uyaseen
language-modeling,Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
User: uzaymacar
language-modeling,[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
User: yxuansu
Home Page: https://arxiv.org/abs/2202.06417
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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