nvidia-nemo

🕵️ NeMo Anonymizer: Detect and protect PII through context-aware replacement and rewriting

The awesome collection of Nvidia NemoClaw presets, recipes, and playbooks for sandboxed OpenClaw operations.

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

Free AI & Community powered Learning Experience

Nemotron ASR rewrite to GGML

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

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

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.

Post-training quantization on Nvidia Nemo ASR model

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

📄 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. 🎧💻⚙️

Extremely fast and accurate audio transcriber surpassing Whisper. Fast on GPU or CPU.

Multi-agent reference app combining NVIDIA NeMo (Python) and Microsoft Agent Framework (.NET) over A2A, with a Razor web chat UI and Aspire-based orchestration.

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.

Swift library for Speaker Embedding extraction and verification using NVIDIA NeMo TitaNet model converted to CoreML. Extract 192-dim speaker embeddings, verify speakers, and perform real-time speaker diarization on iOS/macOS.

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

🤖 NemoClawd — NVIDIA NeMo Agent Toolkit + ClawdBot in one bridge-first AI workspace. TypeScript orchestrates NeMo Python workflows. Enterprise AI Digital Project Manager.

Swift library for Voice Activity Detection (VAD) using NVIDIA NeMo MarbleNet model converted to CoreML. Detect speech segments in real-time on iOS/macOS with high accuracy and low latency.

Local-first developer dashboard for the NVIDIA DGX Spark.

Workshop assets: Achieving Final Year Research Success in AI/ML