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  • Displaying 26 results
    TitaNet-L
    NVIDIA
    TitaNet model for Speaker Verification and Diarization tasks
    Model
    Tinker-HP
    Tinker Tools
    Tinker-HP is a CPUs and GPUs based, multi-precision, MPI massively parallel package dedicated to long polarizable molecular dynamics simulations and to polarizable QM/MM.
    Container
    Efficient Geometry-aware 3D Generative Adversarial Networks
    NVIDIA
    Pretrained EG3D Models for FFHQ, AFHQ, and Shapenet Cars
    Model
    Megatron GPT2 345M
    NVIDIA NeMo
    345M parameter GPT generative Megatron model
    Model
    TTS En Tacotron2
    NVIDIA
    Tacotron2 Speech Synthesis model trained on female English speech
    Model
    BioMegatron345mUncased
    NVIDIA
    Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
    Model
    SF Bilingual Speech in Chinese and English
    Chunghwa Telecom Laboratories
    A bilingual (Mandarin-English) Speech Dataset.
    Resource
    LangID Ambernet
    NVIDIA
    AmberNet Lang ID model for Spoken Language Identification
    Model
    AzureML Quick Launch: TAO
    NVIDIA
    Downloads pre-configured setup files to quick launch an NVIDIA TAO Jupyter Notebook on Azure Machine Learning with the appropriate resources (Compute Cluster and Environment). The set up is done using the NGC-AzureML Quick Launch Toolkit.
    Resource
    TTS Zh Fastpitch HifiGan SFSpeech
    NVIDIA
    This model card includes two Mandarin Chinese models: 1) FastPitch Mel-spectrogram generator trained on SF Chinese/English Bilingual Speech dataset; 2) HiFiGAN vocoder trained on Mel-spectrograms predicted by the FastPitch.
    Model
    Triton FIL backend with XGBoost
    NVIDIA
    This resource is a Jupyter Notebook example that showcases NVIDIA Triton with Forest Inference Library (FIL) backend.
    Resource
    Megatron-BERT 345M Cased
    NVIDIA NeMo
    345M parameter BERT Megatron model with cased vocab
    Model
    BioMegatron345m-biovocab-50k-cased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (50k size) cased, pre-trained on PubMed biomedical text corpus.
    Model
    TTS En VITS
    —
    End-to-end parallel speech synthesis model
    Model
    TTS DE Multi-Speaker FastPitch HiFiGAN
    NVIDIA
    This collection includes two German models: FastPitch trained on the HUI-Audio-Corpus-German clean dataset where the 5-largest amount of speakers are selected and balanced; HiFiGAN is trained on mel-spectrograms predicted by the Multi-speaker FastPitch.
    Model
    TTS En RAD-TTS Aligner
    NVIDIA
    RAD-TTS Aligner model trained on female English speech.
    Model
    Megatron-BERT 345M Uncased
    NVIDIA NeMo
    345M parameter BERT Megatron model with uncased vocab
    Model
    BioMegatron345m-biovocab-50k-uncased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (50k size) uncased, pre-trained on PubMed biomedical text corpus.
    Model
    BioMegatron345m-biovocab-30k-cased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (30k size) cased, pre-trained on PubMed biomedical text corpus.
    Model
    Training with WarpDrive
    Salesforce
    Training with WarpDrive
    Resource
    FinMegatron345m-gpt2-bpe
    NVIDIA NeMo
    FSI : Financial Megatron GPT2 345m parameters model with BPE tokenizer, gpt vocabulary and merge file, pre-trained on subsets of CC-100 text corpus.
    Model
    End-to-end Training with WarpDrive
    Salesforce
    Jupyter notebook for end-to-end training with WarpDrive
    Resource
    BioMegatron345mUncased
    NVIDIA NeMo
    Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
    Model
    BioMegatron345m-biovocab-30k-uncased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (30k size) uncased, pre-trained on PubMed biomedical text corpus.
    Model

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