Alternatives and similar repositories for text_classification_tutorial

Users that are interested in text_classification_tutorial are comparing it to the libraries listed below

• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• ksalama / ucaip-labs
  Code labs for Vertex AI
  ☆46Updated 4 years ago
• alexcoca / DistributedKernelShap
  ☆12Updated 5 years ago
• algorithmiaio / model-deployment
  Examples showcasing model deployment
  ☆17Updated 2 years ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆15Updated 5 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 4 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 6 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• deep-diver / complete-mlops-system-workflow
  ☆17Updated 3 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• hanneshapke / TensorFlow-World-Adv-Introduction-TF-Serving
  This repository contains all code examples for my TensorFlow World talk about "Advanced model deployments with TensorFlow Serving"
  ☆17Updated 3 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• dtriepke / nlp_model_selection_app
  ☆16Updated 5 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• intuit / mlctl
  mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…
  ☆25Updated 4 years ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆206Updated 3 years ago
• sayakpaul / Dual-Deployments-on-Vertex-AI
  Project demonstrating dual model deployment scenarios using Vertex AI (GCP).
  ☆34Updated 4 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆52Updated 4 years ago
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• fastai / bear_voila
  Demo bear classifier with fastai and Voila
  ☆39Updated 2 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• 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
• kubeflow-kale / examples
  Examples to showcase the use of Kale in data science pipelines
  ☆27Updated 2 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆65Updated 4 years ago