This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Learning operating system development using Linux kernel and Raspberry Pi

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

The official repository of Dynamic-SUPERB.

Conditional Diffusion Probabilistic Model for Speech Enhancement

This repository contains a set of codes to run (i.e., train, perform inference with, evaluate) a diarization method called EEND-vector-clustering.

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

Tensorflow and kaldi implementation of our paper "VAE-based regularization for deep speaker embedding"

A collection of AWESOME things about domian adaptation

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…

starter from "How to Train a GAN?" at NIPS2016