acere

AdaptiveKDE

Python module for adaptive kernel density estimation

amazon-sagemaker-amt-visualize

amazon-sagemaker-drift-detection

This sample demonstrates how to setup an Amazon SageMaker MLOps deployment pipeline for Drift detection

Bell-manypairs

Data analysis for CHSH experiments with collective measurements

keras_entity_embedding

Keras NN model with entity embedding for categorical inputs

Quantum-jump-time-estimation

Quantum jump time estimation from FWM of cold Rb

sagemaker-examples

Sagemaker-PyTorch-Lightning-Experiments

SagemakerStudioCDK

amazon-sagemaker-automatic-deploy-mlflow-model

acere/Sagemaker-PyTorch-Lightning-Experiments

acere/amazon-sagemaker-drift-detection

This sample demonstrates how to setup an Amazon SageMaker MLOps deployment pipeline for Drift detection

acere/Quantum-jump-time-estimation

Quantum jump time estimation from FWM of cold Rb

acere/Bell-manypairs

Data analysis for CHSH experiments with collective measurements

acere/keras_entity_embedding

Keras NN model with entity embedding for categorical inputs

acere/sagemaker-examples

acere/SagemakerStudioCDK

acere/AdaptiveKDE

Python module for adaptive kernel density estimation

acere/amazon-sagemaker-amt-visualize

acere/amazon-sagemaker-developer-guide

The open source version of the Amazon SageMaker docs

acere/amazon-sagemaker-feature-store-end-to-end-workshop

acere/amazon-sagemaker-mlops-with-featurestore-and-datawrangler

acere/amazon-sagemaker-tensorflow-object-detection-api

Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker

acere/aws-data-machine-learning-workshop

acere/aws-data-wrangler

Pandas on AWS

acere/Cascade-FWM_Rb

acere/imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

acere/keras

Deep Learning for humans

acere/keras_lr_finder

Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.

acere/NCD-for-quantum-correlations

Measure the NCD of two strings using a collection of compressors. Used to analyze result of a Bell-like experiment

acere/open-data-registry

A registry of publicly available datasets on AWS

acere/readTrc

Little Python function to read .trc binary files from LeCroy Oscilloscopes

acere/sagemaker-101-workshop

Hands-on demonstrations for data scientists exploring Amazon SageMaker

acere/SDV

Automated hierarchical generative modeling for a relational time series databases and sampling

acere/TESPulseFitCode

acere/titanic-synthetic

Generating a synthetic dataset from the Titanic one