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  • Displaying 112 results
    NVIDIA
    NVIDIA
    Riva Speech Skills
    Riva Speech Skills is a scalable Conversational AI service platform.
    Container
    NVIDIA
    NVIDIA
    Riva Speech Skills
    Riva Speech Skills Helm Chart
      Helm Chart
      NVIDIA
      NVIDIA
      Riva Skills Embedded Quick Start
      Scripts and utilities for getting started with Riva Speech Skills on Embedded platforms
        Resource
        DeepPavlov
        DeepPavlov
        DeepPavlov is an open-source conversational AI library built on TensorFlow and Keras. DeepPavlov is designed for development of production ready chatbots and complex conversational systems, research in the area of NLP and, particularly, of dialog systems.
        Container
        NVIDIA
        NVIDIA
        Domain Classification English Bert
        Domain classification of the query for weather chat bot.
          Model
          NVIDIA
          NVIDIA
          Bertlargeuncased
          BERT Large Uncased trained on English Wikipedia and BookCorpus
          Model
          NVIDIA NeMo
          NVIDIA NeMo
          Megatron GPT2 345M
          345M parameter GPT generative Megatron model
          Model
          NVIDIA
          NVIDIA
          BioMegatron345mUncased
          Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
          Model
          NVIDIA
          NVIDIA
          Bertbaseuncased
          BERT Base Uncased trained on English Wikipedia and BookCorpus
          Model
          NVIDIA
          NVIDIA
          RIVA Punctuation and Capitalization for English
          For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
          Model
          NVIDIA
          NVIDIA
          RIVA Punctuation
          For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
            Model
            NVIDIA
            NVIDIA
            BertBaseUncasedForNemo
            BERT Base Model trained on uncased Wikipedia and BookCorpus dataset on a sequence length of 512.
            Model
            —
            BioMegatron345mCased
            Megatron pretrained on cased biomedical dataset PubMed with 345 million parameters.
            Model
            NVIDIA
            NVIDIA
            BioBERTLargeCasedForNeMo
            BioBERT-large cased model checkpoint for NeMo.
            Model
            NVIDIA
            NVIDIA
            BertLargeUncasedForNemo
            BERT Large Model trained with NeMo on uncased Wikipedia and Bookcorpus on a sequence length 512.
            Model
            NVIDIA
            NVIDIA
            Flowtron
            Flowtron is an Autoregressive Flow-based Network for Text-to-Mel-spectrogram Synthesis.
            Model
            NVIDIA
            NVIDIA
            Question Answering SQUAD2.0 Bert
            Question Answering Bert Base uncased model for extractive question answering on any provided content.
              Model
              NVIDIA
              NVIDIA
              BioMegatron345mUncasedSQuADv1
              BioMegatron 345M uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
              Model
              NVIDIA
              NVIDIA
              QA squadv2.0 Bertbase
              Question answering model with BERT base encoder finetuned on SQuADv2.0
              Model
              NVIDIA
              NVIDIA
              Joint Intent and Slot Classification Bert
              Intent and Slot classification of the qeuries for the weather chat bot (trained on weather chat bot data).
                Model
                NVIDIA
                NVIDIA
                Punctuation and Capitalization Bert
                For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
                  Model
                  NVIDIA Deep Learning Examples
                  NVIDIA Deep Learning Examples
                  BERT PyTorch checkpoint (Dist-4L-288D, SQuAD1, seqLen384, AMP)
                  BERT Distilled 4L-288D PyTorch checkpoint distilled on SQuAD v1.1 dataset using AMP
                  Model
                  NVIDIA
                  NVIDIA
                  Joint Intent and Slot Classification DistilBert
                  Intent and Slot classification of the queries for the misty bot with DistilBert model trained on weather, smalltalk and POI (places of interest) data.
                  Model
                  NVIDIA Deep Learning Examples
                  NVIDIA Deep Learning Examples
                  BERT PyTorch checkpoint (Large, SST-2, seqLen128, AMP)
                  BERT Large PyTorch checkpoint finetuned on GLUE/SST-2 dataset using AMP
                  Model

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