RowdyHowell
I am a programmer at heart aspiring to contribute to interactive, innovative, and intelligent technology.
@dialexa Dallas, TX
RowdyHowell's Stars
facebook/react-native
A framework for building native applications using React
psf/requests
A simple, yet elegant, HTTP library.
kelseyhightower/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
automerge/automerge-classic
A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.
jupyterlab/jupyterlab
JupyterLab computational environment.
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
kubernetes-sigs/kind
Kubernetes IN Docker - local clusters for testing Kubernetes
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
iterative/cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
roboll/helmfile
Deploy Kubernetes Helm Charts
awslabs/deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
openai/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
graphile/worker
High performance Node.js/PostgreSQL job queue (also suitable for getting jobs generated by PostgreSQL triggers/functions out into a different work queue)
dephell/dephell
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
dask/distributed
A distributed task scheduler for Dask
jodal/pykka
🌀 Pykka makes it easier to build concurrent Python applications.
danaugrs/huskarl
Deep Reinforcement Learning Framework + Algorithms
gocardless/airflow-dbt
Apache Airflow integration for dbt
operatorai/modelstore
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
quintoandar/butterfree
A tool for building feature stores.
Cornerstone-OnDemand/modelkit
Toolkit for developing and maintaining ML models
aws-quickstart/quickstart-taskcat-ci
CI/CD pipeline for AWS CloudFormation templates Quick Start
aws-samples/aws-pipeline-to-service-catalog
CloudFormation templates and Python scripts showing how to use Boto3 libraries to sync Version control with Service Catalog.