languagemodel

There are 0 repository under languagemodel topic.

salesforce / CodeGen
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
programsynthesis generativemodel codex languagemodel llm tpu-acceleration
Language:Python 4794
yobulkdev / yobulkdev
🔥 🔥 🔥Open Source & AI driven Data Onboarding Platform:Free flatfile.com alternative
csv-parser mongodb open-source streaming data-engineering csv-import csv-reader nextjs nodejs stream react javascript embeddable languagemodel datacleaning
Language:JavaScript 853
salesforce / CodeRL
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
ai codegeneration languagemodel machinelearning programsynthesis reinforcementlearning
Language:Python 476
yxuansu / SimCTG
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
contrastive-learning decode deeplearning language-modeling languagemodel nlp textgeneration
Language:Python 446
asahi417 / lmppl
Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).
bart gpt nlp languagemodel
Language:Python 96
CLUEbenchmark / LightLM
高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task
nlpcc nlpcc2020 nlp languagemodel bert chinese chinese-language-model
Language:Python 57
CLARIN-PL / embeddings
Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language
languagemodel nlp nlp-machine-learning fine-tuning classification sequence-tagging benchmark lm
Language:Python 34
ViralLab / TurkishBERTweet
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
languagemodel machinelearning nlp turkish-nlp twitter twitter-sentiment-analysis
Language:Python 28
shammur / SemEval2022Task3
The PreTENS shared task hosted at SemEval 2022 aims at focusing on semantic competence with specific attention on the evaluation of language models with respect to the recognition of appropriate taxonomic relations between two nominal arguments (i.e. cases where one is a supercategory of the other, or in extensional terms, one denotes a superset of the other).
languagemodel interpretability semantic competences dataset deep-learning semeval
Language:Jupyter Notebook 12
SALT-NLP / FormalityStyleTransfer
Code for "Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization"
styletransfer languagemodel semi-supervised-learning mutual-information textgeneration formality
Language:Python 8
spallas / wsd
A 78.5% word sense disambiguator based on Transformers and RoBERTa (PyTorch)
nlp nlp-machine-learning word-sense-disambiguation transformer languagemodel
Language:Python 6
BigSalmon2 / InformalToFormalDataset
Informal to formal dataset mask MLM
formal gpt-2 informal informal-sentences language-model languagemodel styletransfer
Language:Python 5
ManuPer3z / Sentiment-Analysis-Project
A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.
gui java languagemodel machinelearning nlp sentiment sentimentanalysis textanalytics textprocessing stanfordanalysis
Language:Java 2
imirzadeh / RNN_LM
Language Model with RNN in tensorflow
languagemodel rnn tensorflow
Language:Python 1
soumyagautam / Conversational-AI
This is an API which uses Google PaLM API to give responses to user requests
css google html languagemodel palm-api python
Language:HTML 1
voytas75 / TextGenerator-PowerShell
The PowerShell Random Text Generator is a script that generates random text based on a given model.
languagemodel nlp randomtext textgeneration
Language:PowerShell 1
busraoguzoglu / Next-Word-Prediction-From-Scratch
Simple next word prediction model from scratch, implemented using only numpy.
language-model nextwordprediction languagemodel neural-networks from-scratch
Language:Python 0
RadostinaIvanova / Personality-test
Personality test which classifies in four personality types. For the classification is used the natural language processing classification algorithm - Multinomial Naive-Bayes.
nlp nlp-golang markovmodel naivebayesclassifier naivebayes multinomial-naive-bayes classification-algorithm classification personality-classificator naive-bayes-personality languagemodel machine-learning machine-learning-algorithms
Language:Go 0
wecet / Building-a-NLP-Language-Model
The project generates a sentence given a pre-defined starting phrase from the user such as "Ilbierah kont" and the script attempts to build a sentence off of that phrase. Structurally, the generator works in an n-gram fashion but the main structures used to generate the sentences were the unigram, bigram and trigram. The perplexity for each n-gram model was also calculated
nlp corpus jupyter python languagemodel natural-language-processing
Language:Jupyter Notebook
WonYong-Jang / Text-Data-Analysis
N gram language model
ngrams unigram trigram languagemodel
Language:Java

languagemodel

salesforce / CodeGen

yobulkdev / yobulkdev

salesforce / CodeRL

yxuansu / SimCTG

asahi417 / lmppl

CLUEbenchmark / LightLM

CLARIN-PL / embeddings

ViralLab / TurkishBERTweet

shammur / SemEval2022Task3

SALT-NLP / FormalityStyleTransfer

spallas / wsd

BigSalmon2 / InformalToFormalDataset

ManuPer3z / Sentiment-Analysis-Project

imirzadeh / RNN_LM

soumyagautam / Conversational-AI

voytas75 / TextGenerator-PowerShell

busraoguzoglu / Next-Word-Prediction-From-Scratch

RadostinaIvanova / Personality-test

wecet / Building-a-NLP-Language-Model

WonYong-Jang / Text-Data-Analysis