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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
BioMegatron345mUncased
NVIDIA
Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
Model
TTS En Tacotron2
NVIDIA
Tacotron2 Speech Synthesis model trained on female English speech
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
Training with WarpDrive
Salesforce
Training with WarpDrive
Resource
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
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
TTS En HiFiTTS VITS
NVIDIA
End-to-end parallel speech synthesis model
Model
1-24 of 26 items

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