Alternatives and similar repositories for cloudml-hypertune

Users that are interested in cloudml-hypertune are comparing it to the libraries listed below

• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆53Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• shashankprasanna / kubeflow-pipelines-sagemaker-examples
  Examples for using Amazon SageMaker components in Kubeflow Pipelines
  ☆22Updated 5 years ago
• machine-learning-apps / wandb-action
  GitHub Action That Retrieves Model Runs From Weights & Biases
  ☆60Updated 3 years ago
• SeldonIO / tempo
  MLOps Python Library
  ☆121Updated 3 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆152Updated last year
• kubeflow / code-intelligence
  ML-Powered Developer Tools, using Kubeflow
  ☆56Updated 4 years ago
• determined-ai / yogadl
  yogadl, the flexible data layer
  ☆74Updated 2 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 3 years ago
• machine-learning-apps / mlops-dashboard
  Prototype MLOps Dashboard Using GitHub Pages
  ☆23Updated 3 years ago
• zynga / rl-bakery
  RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.
  ☆96Updated last year
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• comet-ml / comet-for-mlflow
  Comet-For-MLFlow Extension
  ☆67Updated last week
• mlspec / MLSpec
  Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…
  ☆94Updated last year
• kubeflow-kale / examples
  Examples to showcase the use of Kale in data science pipelines
  ☆27Updated 2 years ago
• deep-diver / Model-Training-as-a-CI-CD-System
  Demonstration of the Model Training as a CI/CD System in Vertex AI
  ☆29Updated 4 years ago
• RedisAI / redisai-examples
  RedisAI showcase
  ☆58Updated last year
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 4 years ago
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆71Updated 3 months ago
• alexcoca / DistributedKernelShap
  ☆12Updated 5 years ago
• fastai / fastgpu
  A queue service for quickly developing scripts that use all your GPUs efficiently
  ☆88Updated 3 years ago
• SeldonIO / mlgraph
  Machine Learning Inference Graph Spec
  ☆21Updated 6 years ago
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆43Updated 4 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆70Updated 5 years ago
• tensorflow / metadata
  Utilities for passing TensorFlow-related metadata between tools
  ☆113Updated 2 weeks ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆142Updated last year