data-ai-ml-services Goto Github PK

adamw-and-sgdw

Decoupled Weight Decay Regularization (ICLR 2019)

adamw_keras

AdamW optimizer for Keras

aiomqtt

The idiomatic asyncio MQTT client, wrapped around paho-mqtt

arxivpapers

Code behind Arxiv Papers

audio-diffusion-pytorch

Audio generation using diffusion models, in PyTorch.

auto-encoder

Auto-encoder on torch - trying out the various AEs

automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

azure-machine-learning-bootcamp

Azure Machine Learning Bootcamp

azure-storage-fuse

A virtual file system adapter for Azure Blob storage

azureml-and-dask

Shows how to spin up a DASK cluster on AML Compute

azureml-bert

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

birdsongpaper

Code to support the book chapter "Using Neural Networks to Identify Bird Species from Birdsong Samples"

bmeyers.github.io

A lightweight Jekyll blog for my research notes

boiler-pytorch

Basic framework for model training and evaluation in PyTorch.

bokeh-server-on-azure-web-app

boneage

Code and models for automated pediatric bone age evaluation with deep learning

bpdiag

quick script to visualize blood pressure measurements

card

Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"

character-bert

Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"

cinc-challenge2017

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

clr

code

ECG Classification

cs205-waveforms

cvae

Convolutional Variational-Autoencoder (CVAE) for anomaly detection in time series.

cwt

Python code for implementing the Continuous Wavelet Transform.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

dask

Parallel computing with task scheduling

dask-ml-on-azure-ml

Using Dask-ML on Azure ML