Rahul Mehta's repositories
barista
an opinionated java server library
bazel_rules_pex
Python PEX rules for Bazel
cherrypy
CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
flyte
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
flyteadmin
Control Plane for Flyte. Flyteadmin is a gRPC + REST Service written in golang and uses a RDBMs to store meta information and management information for Flyte Tasks and Workflows.
flyteconsole
The user interface for Flyte
flytekit
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
flytekit-theorem
Theorem-specific testing fork of flytekit
hera-workflows
Hera is an Argo Workflows Python SDK. Hera aims to make workflow construction and submission easy and accessible to everyone! Hera abstracts away workflow setup details while still maintaining a consistent vocabulary with Argo Workflows.
jpmml-sklearn
Java library and command-line application for converting Scikit-Learn pipelines to PMML
kubeflow
Machine Learning Toolkit for Kubernetes
lens
Lens - The way the world runs Kubernetes
libfyaml
Fully feature complete YAML parser and emitter, supporting the latest YAML spec and passing the full YAML testsuite.
metaflow
:rocket: Build and manage real-life data science projects with ease!
pipelines
Machine Learning Pipelines for Kubeflow
provider-aws
Official AWS Provider for Crossplane by Upbound.
ruff
An extremely fast Python linter, written in Rust.
rules_docker
Rules for building and handling Docker images with Bazel
rules_kustomize
Bazel rules for kustomize
rules_oci
Bazel rules for building OCI containers
rules_python
Bazel Python Rules
sklearn2pmml
Python library for converting Scikit-Learn pipelines to PMML
spark
Apache Spark - A unified analytics engine for large-scale data processing
tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf