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Search results for python language modeling
language-modeling
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python
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73 search results found
Darts
⭐
2,775
Differentiable architecture search for convolutional and recurrent networks
Rl4lms
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1,911
A modular RL library to fine-tune language models to human preferences
Pplm
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1,058
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Bert Keras
⭐
802
Keras implementation of BERT with pre-trained weights
Neural_sp
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466
End-to-end ASR/LM implementation with PyTorch
Tape
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348
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Rezero
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326
Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
Local Attention
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270
An implementation of local windowed attention for language modeling
Relational Rnn Pytorch
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228
An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.
Memprompt
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220
A method to fix GPT-3 after deployment with user feedback, without re-training.
F Lm
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156
Language Modeling
Lasuie
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128
Universal Information Extraction, codes for the NeurIPS-2022 paper: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.
Deep Lyrics
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123
Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
Joint Slu Lm
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120
Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.
Tape Neurips2019
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115
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)
Rnn From Scratch
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114
Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Unif
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109
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
Factscore
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103
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"
Jlm
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99
A fast LSTM Language Model for large vocabulary language like Japanese and Chinese
Compressive Transformer Pytorch
⭐
86
Pytorch implementation of Compressive Transformers, from Deepmind
Prpn
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84
Parsing Reading Predict Network
Deepblast
⭐
80
Neural Networks for Protein Sequence Alignment
Indrnn_pytorch
⭐
80
Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
Slimtrainer
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78
Full finetuning of large language models without large memory requirements
Gated State Spaces Pytorch
⭐
74
Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
Nlm Noising
⭐
72
Incontext Learning
⭐
69
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Comparatively Finetuning Bert
⭐
61
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
Pretraining For Language Understanding
⭐
59
Pre-training of Language Models for Language Understanding
Fine Lm
⭐
59
Fine Tuning Language Models for Multilabel Prediction
Emo
⭐
58
Official repository of the ICLR 2024 paper "EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling"(https://arxiv.org/abs/2310.04691)
Udsmprot
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58
Protein sequence classification with self-supervised pretraining
Quasi Rnn
⭐
56
Quasi-RNN for language modeling
Recurrent Fwp
⭐
39
Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
Tying Wv And Wc
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38
Implementation for "Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling"
M2d2
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35
M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
Theano Recurrence
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35
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Kenlm Training
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27
Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
Lstmcell
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26
Implement modern LSTM cell by tensorflow and test them by language modeling task for PTB. Highway State Gating, Hypernets, Recurrent Highway, Attention, Layer norm, Recurrent dropout, Variational dropout.
Cpt
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26
[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
Fed Att
⭐
25
Attentive Federated Learning for Private NLM
Bayesian_rnn
⭐
25
The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"
Linguistics_problems
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22
Natural language processing in examples and games
Protein Localization Transformer
⭐
22
Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction
Multi Task Learning Tf
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21
Tensorflow implementation of multi-task learning for language modeling and text classification.
Flatten_gigaword
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21
Dump the text of the Gigaword dataset into a single file, for use with language modeling (and other!) toolkits
Paccmann_proteomics
⭐
19
PaccMann models for protein language modeling
Besser
⭐
18
A Python-based low-modeling low-code platform by BESSER
Groc
⭐
17
Pytorch implementation of models described in "Grounded compositional outputs for adaptive language modeling", EMNLP 2020.
Brnolm
⭐
17
A neural language modeling toolkit built on PyTorch
Lnex
⭐
17
📍 🏢 🏦 🏣 🏪 🏬 LNEx: Location Name Extractor
Systemcallanomalydetectionlstm
⭐
16
system call-based anomaly detection with LSTM
Flm
⭐
16
Accelerating Vision-Language Pretraining with Free Language Modeling (CVPR 2023)
Baby Cothought
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16
Baby's CoThought: Leveraging LLMs for Enhanced Reasoning in Compact Models
Nlp981
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13
Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.
Group Transformer
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12
Official code for Group-Transformer (Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model, COLING-2020).
Surprisal
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12
A unified interface for computing surprisal (log likelihood) from language models---whether neural, symbolic, or black-box APIs
Language Modeling
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12
Pipeline for training Language Models using PyTorch.
Verified Smart Contracts
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11
📄 Verified Ethereum Smart Contract dataset
Corelm
⭐
9
A Continuous Space Neural Network Language Model based on Theano
Adapinp
⭐
9
Unofficial implementation of Adaptive Input in PyTorch
Mt Lm
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9
Domain-Specific Text Generation for Machine Translation (with LLMs) - scripts and config files for the paper
Pru
⭐
9
Pyramidal Recurrent Units (PRUs): A New LSTM Unit
Industrial Stacknns
⭐
8
Stack neural networks applied to hefty natural language tasks.
Sedlm
⭐
8
Language modelling for sound event detection
Kosentences
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8
Large scale unannotated Korean corpus for unsupervised tasks. (e.g. Language modeling)
Transformer Xl Refactoring
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7
A refactored version of kimiyoung / transformer-xl/tf
Lstm_language_model
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7
LSTM-based language model in TensorFlow
Multi Task Cs Lm
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7
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning (CALCS 2018, ACL)
Codemixed Text Generator
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6
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.
Gated_cnn_for_language_modeling
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5
Language Modeling
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5
Language Modeling with RNN in Tensorflow
Sandle
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5
Run a large language modeling SANDbox in your Local Environment
Modifiedkneserney
⭐
5
Interpolated Kneser-Ney smoothing with an out-of-vocabulary correction and discount estimated from training data
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