amitpanda123 Goto Github PK

2019-cs109a

https://harvard-iacs.github.io/2019-CS109A/

2019-cs109b

aditi81-hyperparametertuning_mlflow

adtk

A Python toolkit for unsupervised anomaly detection in time series

amitpanda123

Config files for my GitHub profile.

apachekafkatutorials

Example Code for Kafka Tutorials @ Learning Journal

bootcamp_dec7

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

code_snippets

continuous-intelligence-workshop

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

dash-sample-apps

Apps hosted in the Dash Gallery

data-engineering-with-python

Data Engineering with Python, published by Packt

data_science

Reading materials on Data_Science

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

devops

Reading material for DevOps

docker_for_devops

Docker Training Documents and Quizzes

elegantframeworks

Code stubs for Elegant Automation Frameworks with Python and Pytest (Udemy)

feature_monitoring

monitoring features

flask-angular-data-science

Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280

how-to-kubeflow

How to setup and use a local version of Kubeflow machine learning platform

kubeflow

langchain-chainlit-docker-deployment

A template to run Lanchain Powered App using Chainlit Front UI

logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

machine-learning-imbalanced-data

mlflow

Open source platform for the machine learning lifecycle

mlflow-spark-summit-2019

MLFlow Spark Summit 2019 Presentation

mlflow-with-streamlit

Simple demonstration of interactions between a streamlit app and the mlflow tracking api

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-3

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.