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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 112 results
    Riva Speech Skills
    NVIDIA
    Riva Speech Skills is a scalable Conversational AI service platform.
    Container
    Riva Speech Skills
    NVIDIA
    Riva Speech Skills Helm Chart
    Helm Chart
    Riva Skills Embedded Quick Start
    NVIDIA
    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
    Domain Classification English Bert
    NVIDIA
    Domain classification of the query for weather chat bot.
    Model
    Bertlargeuncased
    NVIDIA
    BERT Large Uncased trained on English Wikipedia and BookCorpus
    Model
    Megatron GPT2 345M
    NVIDIA NeMo
    345M parameter GPT generative Megatron model
    Model
    BioMegatron345mUncased
    NVIDIA
    Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
    Model
    Bertbaseuncased
    NVIDIA
    BERT Base Uncased trained on English Wikipedia and BookCorpus
    Model
    RIVA Punctuation and Capitalization for English
    NVIDIA
    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
    BertBaseUncasedForNemo
    NVIDIA
    BERT Base Model trained on uncased Wikipedia and BookCorpus dataset on a sequence length of 512.
    Model
    BioBERTLargeCasedForNeMo
    NVIDIA
    BioBERT-large cased model checkpoint for NeMo.
    Model
    RIVA Punctuation
    NVIDIA
    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
    BioMegatron345mCased
    —
    Megatron pretrained on cased biomedical dataset PubMed with 345 million parameters.
    Model
    BertLargeUncasedForNemo
    NVIDIA
    BERT Large Model trained with NeMo on uncased Wikipedia and Bookcorpus on a sequence length 512.
    Model
    Flowtron
    NVIDIA
    Flowtron is an Autoregressive Flow-based Network for Text-to-Mel-spectrogram Synthesis.
    Model
    BioMegatron345mUncasedSQuADv1
    NVIDIA
    BioMegatron 345M uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
    Model
    Question Answering SQUAD2.0 Bert
    NVIDIA
    Question Answering Bert Base uncased model for extractive question answering on any provided content.
    Model
    QA squadv2.0 Bertbase
    NVIDIA
    Question answering model with BERT base encoder finetuned on SQuADv2.0
    Model
    Joint Intent and Slot Classification Bert
    NVIDIA
    Intent and Slot classification of the qeuries for the weather chat bot (trained on weather chat bot data).
    Model
    Punctuation and Capitalization Bert
    NVIDIA
    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
    BertBaseUncasedSQuADv1
    NVIDIA
    BERT Base Uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
    Model
    Joint Intent and Slot Classification DistilBert
    NVIDIA
    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
    BERT PyTorch checkpoint (Dist-4L-288D, SQuAD1, seqLen384, AMP)
    NVIDIA Deep Learning Examples
    BERT Distilled 4L-288D PyTorch checkpoint distilled on SQuAD v1.1 dataset using AMP
    Model

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