Pytorch Openai Transformer Lm🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
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Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
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FNet-pytorchUnofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
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Bert PytorchGoogle AI 2018 BERT pytorch implementation
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Gpt2 FrenchGPT-2 French demo | Démo française de GPT-2
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Gpt2PyTorch Implementation of OpenAI GPT-2
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Gpt ScrollsA collaborative collection of open-source safe GPT-3 prompts that work well
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Vietnamese ElectraElectra pre-trained model using Vietnamese corpus
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MinTLMinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
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Neural spEnd-to-end ASR/LM implementation with PyTorch
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Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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TupeTransformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.
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Relational Rnn PytorchAn implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.
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personality-predictionExperiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including the Essays dataset (Big-Five)
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alpr utilsALPR model in unconstrained scenarios for Chinese license plates
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CharLMCharacter-aware Neural Language Model implemented by PyTorch
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TokenLabelingPytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
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dasher-webDasher text entry in HTML, CSS, JavaScript, and SVG
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YaEtlYet Another ETL in PHP
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sparql-transformerA more handy way to use SPARQL data in your web app
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TransBTSThis repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).
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TabFormerCode & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
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capeContinuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
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Cross-lingual-SummarizationZero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
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Transformer Temporal TaggerCode and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
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svelte-jestJest Svelte component transformer
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ClusterTransformerTopic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
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transformerA simple TensorFlow implementation of the Transformer
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calmContext Aware Language Models
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proc-thatproc(ess)-that - easy extendable ETL tool for Node.js. Written in TypeScript.
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sisterSImple SenTence EmbeddeR
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imdb-transformerA simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.
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kaggle-champsCode for the CHAMPS Predicting Molecular Properties Kaggle competition
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kospeechOpen-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
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libaiLiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
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catrImage Captioning Using Transformer
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basis-expansionsBasis expansion transformers in sklearn style.
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Neural-Machine-TranslationSeveral basic neural machine translation models implemented by PyTorch & TensorFlow
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swig-srilmSWIG Wrapper for the SRILM toolkit
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php-serializerSerialize PHP variables, including objects, in any format. Support to unserialize it too.
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ru-dalleGenerate images from texts. In Russian
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lm-scorer📃Language Model based sentences scoring library
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fastT5⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
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ViTs-vs-CNNs[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
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R-MeNTransformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
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gap-text2sqlGAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
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mlp-gpt-jaxA GPT, made only of MLPs, in Jax
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TitleStylistSource code for our "TitleStylist" paper at ACL 2020
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text simplificationText Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.
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