AI control plane to schedule, run, debug, observe, and automate AI/ML workloads, agents, and sandboxes on your infra. Community: https://teapawt.org/t.co/z7RVr8R4Tr
Joined December 2016
- Tweets353
- Following576
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polyaxon retweeted
polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Lang: Python
⭐️ 3199
Author: @polyaxonAI
#MachineLearning
github.com/polyaxon/polyaxon
polyaxon retweeted
polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Lang: Python
⭐️ 3161
Author: @polyaxonAI
#MachineLearning
github.com/polyaxon/polyaxon
polyaxon retweeted
polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Lang: Python
⭐️ 3123
Author: @polyaxonAI
#MachineLearning
github.com/polyaxon/polyaxon
polyaxon retweeted
polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Lang: Python
⭐️ 3067
Author: @polyaxonAI
#MachineLearning
github.com/polyaxon/polyaxon
polyaxon retweeted
polyaxon: Machine Learning Management & Orchestration Platform (Monorepo for Polyaxon's MLOps Tools)
Lang: Python
⭐️ 3053
Author: @polyaxonAI
#MachineLearning
github.com/polyaxon/polyaxon
polyaxon retweeted
MLOpsコミュニティでは過去の勉強会をYouTubeで配信しています。
『Polyaxon + Kubeflow を利用した効率的な継続的モデルインテグレーション』では継続的学習を実装や具体例とともに説明しています。ご興味ある方はぜひご視聴ください！
youtube.com/watch?v=xzVS8m29…
#mlops #MLOpsコミュニティ
polyaxon retweeted
polyaxon: Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
Lang: Python
⭐️ 2909
#MachineLearning
github.com/polyaxon/polyaxon
polyaxon retweeted
polyaxon: Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
⭐️ 2930
#k8s #kubernetes #capi
Author: @polyaxonAI
github.com/polyaxon/polyaxon
polyaxon retweeted
22ページのスライド資料。 / “Polyaxon + Kubeflow を利用した効率的な継続的モデルインテグレーション / Continuous ML Model Integration with Polyaxon and Kubefolow Pipelines - Speaker Deck” htn.to/2hUG8YfLwJ
polyaxon retweeted
第9回MLOps勉強会、PolyaxonとKubeflow Pipelineによる継続的インテグレーションの動画です！
登壇者はメルカリUSから@shotarok28です！
youtu.be/xzVS8m29tqc
#mlops
polyaxon retweeted
KubeCon + CloudNativeCon EU will be held next week! This is my first KubeCon to join as a speaker! I'm looking forward to seeing you at my talk: Efficient Model Exploring and Continuous Delivery With Polyaxon + Kubeflow sched.co/iE5c #KubeCon #Kubeflow #Polyaxon
polyaxon retweeted
Polyaxon: Machine Learning Platform for Kubernetes #deeplearning #machinelearning github.com/polyaxon/polyaxon
polyaxon retweeted
My blog post on “Continuous delivery and automation pipelines in Machine Learning with Polyaxon and Kubeflow” is out now!
medium.com/mercari-engineeri…
#Kubernetes #MachineLearning #Kubeflow #mercari
polyaxon retweeted
Excited to share our new blog post on @kubeflow MPI Operator and its industry adoption, making it easy to run allreduce-style distributed training on @kubernetesio! bit.ly/2TY0jP9 #k8s #MachineLearning
polyaxon retweeted
Very excited to continue to use @PolyaxonAI in our medical imaging research workflow
Very exited to share the work that we've been doing since the last release:
medium.com/polyaxon/streamli…
#MLOps #MachineLearning #Kubernetes #DeepLearning
polyaxon retweeted
polyaxon retweeted
Voici les slides de la soirée gestion des expériences en ML:
➡️ Polyaxon speakerdeck.com/toulousedata…
➡️Sacred
speakerdeck.com/toulousedata…
➡️MLFlow et DVC :
speakerdeck.com/toulousedata…
Un grand merci à tous les speakers 😘
Un grand merci 🙏 à nos speakers, sponsors & partenaires pour la soirée ML Experiment ➡️ @vfdev_5 @magellium Vincent Chabot @meteofrance @WeatherForce Hacene Karrad @Delair #Sacred #MLFlow #Polyaxon ❤️ @dexstr_tsc @Liebherr @Airbus @ActuIAFr @HarryCoworking
polyaxon retweeted
Facebook AI has developed an easy-to-implement, efficient alternative to standard 2D or 3D convolution. Learn more about octave convolution (OctConv) here. ai.facebook.com/blog/octconv…
polyaxon retweeted
We've trained an AI system to solve the Rubik's Cube with a human-like robot hand.
This is an unprecedented level of dexterity for a robot, and is hard even for humans to do.
The system trains in an imperfect simulation and quickly adapts to reality: openai.com/blog/solving-rubi…