A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

LSTM and QRNN Language Model Toolkit for PyTorch

🧹 Python package for text cleaning

generate MNIST using a Variational Autoencoder

Chinese text normalization for speech processing

Implementation of a hierarchical CNN based model to detect Big Five personality traits

NeMo text processing for ASR and TTS

A module for normalising text.

Read-only mirror of Pynini

State-of-the-art model evaluation

Microstructure data visualization flask app: http://uhcsdb.materials.cmu.edu