Uplift modeling and causal inference with machine learning algorithms
The Lux Programming Language
Low-code platform to help developers build AI solutions
An MLOps framework to package, deploy, monitor and manage models
Open standard for machine learning interoperability
Build and deploy machine learning microservices
Standardized Serverless ML Inference Platform on Kubernetes
Fast Forward Computer Vision (and other ML workloads!)
A game theoretic approach to explain the output of ml models
Unified Model Serving Framework
TFDS is a collection of datasets ready to use with TensorFlow,
The standard data-centric AI package for data quality and ML
Performance Software for Cyclists, Runners, Triathletes and Coaches
C++ DataFrame for statistical, Financial, and ML analysis
Data-Centric Pipelines and Data Versioning
Petastorm library enables single machine or distributed training
Reference implementations of MLPerf™ training benchmarks
Python Package for ML-Based Heterogeneous Treatment Effects Estimation
The open standard for data logging
A Fast, Offline, Graphical Installer for Arch Linux
For building machine learning (ML) workflows and pipelines on AWS
A portable SCADA/IoT platform centered on the MongoDB database server.