Mahmoud Ashraf

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Text to speech alignment using CTC forced alignment

Learned Image Compression Using Autoencoder Architecture

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Faster Whisper transcription with CTranslate2

SGLang is a fast serving framework for large language models and vision language models.

TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.

A python package for deep multilingual punctuation prediction.

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)

The Unified AI Framework

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

NeMo -> Riva Conversion Tool

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Fast inference engine for Transformer models

LlamaIndex is a data framework for your LLM applications

The official pytorch implemention of the Intespeech 2024 paper "Reshape Dimensions Network for Speaker Recognition"

Speech-To-Text forced-alignment Speech processing Universal PERformance Benchmark

No description.

Data manipulation and transformation for audio signal processing, powered by PyTorch

Perceptual quality metrics for TensorFlow

A simple program to implement matrix multiplication on GPU using OpenCL

A simple implementation for K Means Clustering using OpenMP written in C++

This is an example program to parallelize matrix multiplication using POSIX threads written in C

No description.