Uplift modeling and causal inference with machine learning algorithms
The Lux Programming Language
Standardized Serverless ML Inference Platform on Kubernetes
Fire up your models with the flame
A game theoretic approach to explain the output of ml models
Low-code platform to help developers build AI solutions
Build and deploy machine learning microservices
Unified Model Serving Framework
Data-Centric Pipelines and Data Versioning
Petastorm library enables single machine or distributed training
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
An MLOps framework to package, deploy, monitor and manage models
Reference implementations of MLPerf™ training benchmarks
Fast Forward Computer Vision (and other ML workloads!)
Python Package for ML-Based Heterogeneous Treatment Effects Estimation
The open standard for data logging
A portable SCADA/IoT platform centered on the MongoDB database server.
For building machine learning (ML) workflows and pipelines on AWS
AI for GNU Image Manipulation Program
A whole-program optimizing compiler for Standard ML
A collection of machine-checkend mathematical proofs
Lambda architecture on Apache Spark, Apache Kafka for real-time