hubPublic reusable components for Polyaxon
Stars: ✭ 8 (-90.59%)
Mutual labels: notebook, scikit-learn, tensorboard, mlops
PolyaxonMachine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
Stars: ✭ 2,966 (+3389.41%)
Mutual labels: mxnet, notebook, k8s, mlops
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (+2615.29%)
Mutual labels: scikit-learn, xgboost, dask
chartsHelm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.
Stars: ✭ 32 (-62.35%)
Mutual labels: scikit-learn, k8s, mlops
ai-deployment关注AI模型上线、模型部署
Stars: ✭ 149 (+75.29%)
Mutual labels: mxnet, scikit-learn, xgboost
Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Stars: ✭ 92 (+8.24%)
Mutual labels: mxnet, scikit-learn, xgboost
Polyaxon ExamplesCode for polyaxon tutorials and examples
Stars: ✭ 57 (-32.94%)
Mutual labels: mxnet, scikit-learn, mpi
go-ml-benchmarks⏱ Benchmarks of machine learning inference for Go
Stars: ✭ 27 (-68.24%)
Mutual labels: scikit-learn, xgboost
infinispan-operatorInfinispan Operator
Stars: ✭ 32 (-62.35%)
Mutual labels: k8s, kubernetes-operator
cliPolyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-78.82%)
Mutual labels: scikit-learn, mlops
neptune-client📒 Experiment tracking tool and model registry
Stars: ✭ 348 (+309.41%)
Mutual labels: xgboost, mlops
mlreefThe collaboration workspace for Machine Learning
Stars: ✭ 1,409 (+1557.65%)
Mutual labels: mxnet, mlops
kotaryManaging Kubernetes Quota with confidence
Stars: ✭ 85 (+0%)
Mutual labels: k8s, kubernetes-operator
notebooksA docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:
Stars: ✭ 29 (-65.88%)
Mutual labels: notebook, scikit-learn
HorovodDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Stars: ✭ 11,943 (+13950.59%)
Mutual labels: mxnet, mpi
OnnxOpen standard for machine learning interoperability
Stars: ✭ 11,829 (+13816.47%)
Mutual labels: mxnet, scikit-learn
D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Stars: ✭ 11,837 (+13825.88%)
Mutual labels: mxnet, notebook
mlforecastScalable machine 🤖 learning for time series forecasting.
Stars: ✭ 96 (+12.94%)
Mutual labels: xgboost, dask
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-40%)
Mutual labels: scikit-learn, xgboost
td-redis-operator一款强大的云原生redis-operator，经过大规模生产级运行考验，支持分布式集群、支持主备切换等缓存集群解决方案…The powerful cloud-native redis-operator, which has passed the test of large-scale production-level operation, supports distributed clusters and active/standby switching ...
Stars: ✭ 327 (+284.71%)
Mutual labels: k8s, kubernetes-operator
