mlflow topic
Serving-Machine-Learning-Models
This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoM...
dvc_dask_use_case
A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.
mlops-platforms
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
koalas
Koalas: pandas API on Apache Spark
aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
mlflow
Open source platform for the machine learning lifecycle
yocto-gl
Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics
LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]