Helper for serving function deploy of an AI agents using MLRun

Rolling aggregation over Metrics and Lables according to specifications

retrieve remote archive, open and save as parquet

Automatic train, evaluate and predict functions for the ML frameworks - Scikit-Learn, XGBoost and LightGBM.

AzureML serving function

Azure AutoML integration in MLRun, including utils functions for training models on Azure AutoML platfrom.

Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.

Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.

Count events in each time window

describe and visualizes dataset stats

Demonstrates Evidently integration in MLRun for data quality and drift monitoring using the Iris dataset

Select features through multiple Statistical and Model filters

Create a binary classification sample dataset and save.

add comments to github pull request

Model-monitoring application for detecting and visualizing data drift

Generic Hugging Face model server.

load a toy dataset from scikit-learn

Mlflow model server, and additional utils.

generic sklearn model server

test model servers

Reduce noise from audio files

ONNX intigration in MLRun, some utils functions for the ONNX framework, optimizing and converting models from different framework to ONNX using MLRun.

Open a file/object archive into a target directory

OpenAI application runtime based on fastapi

This function is used to recognize PII in a directory of text files

pyannote's speech diarization of audio files

GenAI approach of question answering on a given data

Send Email messages through SMTP server

Silero VAD (Voice Activity Detection) functions.

GenAI approach of generating structured data according to a given schema

Generate audio file from text using different speakers

tf2 image classification server

Transcribe audio files into text files

Translate text files from one language to another

generic sklearn model server

test v2 model servers

Deploys a vLLM OpenAI-compatible LLM server as an MLRun application runtime, with configurable GPU usage, node selection, tensor parallelism, and runtime flags.