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#

nvidia-nemo

Here are 21 public repositories matching this topic...

Speech synthesis (TTS) in low-resource languages by training from scratch with Fastpitch and fine-tuning with HifiGan

  • UpdatedDec 5, 2023
  • Python

Free AI & Community powered Learning Experience

  • UpdatedNov 14, 2024
  • TypeScript

Training NVIDIA NeMo Megatron Large Language Model (LLM) using NeMo Framework on Google Kubernetes Engine

  • UpdatedApr 28, 2025
  • HCL

LLM tutorial materials include but not limited to NVIDIA NeMo, TensorRT-LLM, Triton Inference Server, and NeMo Guardrails.

  • UpdatedJun 26, 2025
  • Python

This repository combines `WavLM`, a powerful speech representation model from Microsoft, with `MSDD` (Multi-Scale Diarization Decoder), a state-of-the-art approach for speaker diarization from Nvidia.

  • UpdatedJun 17, 2025
  • Jupyter Notebook

Extractive Question-Answering with BERT on SQuAD v2.0 (Stanford Question Answering Dataset) using NVIDIA PyTorch Lightning

  • UpdatedApr 18, 2023
  • Jupyter Notebook

Post-training quantization on Nvidia Nemo ASR model

  • UpdatedAug 23, 2023
  • Jupyter Notebook

📄 SmartSRT is a command-line tool for generating accurate subtitles with per-word timestamps. It uses WhisperAI for speech transcription, NVIDIA NeMo for diarization, and OpenCV for face recognition. The program is good at creating high accuracy subtitles. 🎧💻⚙️

  • UpdatedFeb 15, 2023

Automatic transcriber made with the Nvidia NeMo AI toolkit. Used to transcribe speech to text in real-time from any source. Requires CUDA capable GPU to run on the local machine, if setup using virtual audio cables can transcribe the audio that is being played in real-time without any other requirements.

  • UpdatedOct 18, 2020
  • Python

The simplest & most comprehensible tutorial on speaker identification with NVIDIA's `Nemo`.

  • UpdatedAug 5, 2021
  • Python

This bootcamp is designed to give NLP researchers an end-to-end overview on the fundamentals of NVIDIA NeMo framework, complete solution for building large language models. It will also have hands-on exercises complimented by tutorials, code snippets, and presentations to help researchers kick-start with NeMo LLM Service and Guardrails.

  • UpdatedMar 7, 2024
  • Jupyter Notebook

Training and Tunning a Text to speech model with Nvidia NeMo and Weights and Biases

  • UpdatedDec 8, 2022
  • Jupyter Notebook

FastAPI-based Hindi ASR app using NVIDIA NeMo + ONNX, with Docker support for easy deployment.

  • UpdatedMay 25, 2025
  • Python

Module for russian speech recognition using NVIDIA Nemo.

  • UpdatedFeb 12, 2023
  • Python

Implementation of a Kazakh Speech-to-Text Model using the NVIDIA NeMo toolkit for efficient transcription of spoken Kazakh speech into text.

  • UpdatedJan 22, 2024
  • Python

End-to-End MLOps pipeline for Vietnamese ASR using NVIDIA NeMo. Features custom ETL for YouTube data, robust data validation, and a hybrid Local-to-Cloud workflow for deploying Conformer-CTC models on GPU.

  • UpdatedDec 16, 2025
  • Python

Diarizer system that takes as input .wav files and it transcribe the audio saying who spoke and when. This has been done using the NVIDIA Nemo Framework and pre-trained models.

  • UpdatedNov 11, 2025
  • Python

Audio profanity detector desktop app developed with PyQt5 using NVidia-Nemo tech.

  • UpdatedDec 4, 2021
  • Python

Autonomous Data Agent that cleans, analyzes, and models datasets using Python, RAPIDS, PyTorch, TensorFlow, XGBoost, LightGBM, CatBoost, SHAP/LIME, NeMo, and Streamlit, delivering GPU-accelerated, explainable insights.

  • UpdatedOct 3, 2025
  • Python

🤖 Intelligent Wikipedia research assistant powered by NVIDIA's NeMo Agent Toolkit. Features ReAct reasoning, multiple interfaces (CLI, interactive, Python), and comprehensive examples. Get started in minutes with NVIDIA NIM models.

  • UpdatedAug 11, 2025
  • Shell

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