Alternatives and similar repositories for -Practical-Deep-Learning-on-the-Cloud

Users that are interested in -Practical-Deep-Learning-on-the-Cloud are comparing it to the libraries listed below

• PacktPublishing / Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda
  Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt
  ☆25Updated 4 years ago
• ttzt / catalog_of_requirements_for_ai_products
  The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…
  ☆132Updated 4 years ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆61Updated 3 weeks ago
• PacktPublishing / Python-Machine-Learning-Tips-Tricks-and-Techniques
  Python Machine Learning: Tips, Tricks, and Techniques, published by Packt
  ☆20Updated 4 years ago
• alexeygrigorev / datascience-recruitment-challenges
  Home assignments for data science positions
  ☆154Updated 3 years ago
• sejalv / serverless-ml-workshop
  Deployment of ML models with Serverless APIs (AWS Lambda) and Docker
  ☆25Updated 4 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆64Updated 4 years ago
• ybabakhin / kaggle-skeleton
  Initial skeleton for ML competitions
  ☆13Updated 7 years ago
• jeongyoonlee / kaggler-template
  Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
  ☆45Updated 5 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated 2 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 3 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• parulnith / Explainable-AI-Workshop
  ☆17Updated 2 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 4 years ago
• alexeygrigorev / aws-lambda-docker
  Using AWS Lambda with Docker to deploy a deep learning model
  ☆24Updated 4 years ago
• aws-samples / amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
  Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
  ☆73Updated 4 years ago
• PacktPublishing / Artificial-Intelligence-with-Python-Cookbook
  Artificial Intelligence with Python Cookbook, published by Packt
  ☆77Updated 3 weeks ago
• PacktPublishing / Machine-Learning-with-Amazon-SageMaker-Cookbook
  Machine Learning with Amazon SageMaker Cookbook, published by Packt
  ☆54Updated 3 weeks ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated 3 weeks ago
• Diyago / ML-DL-scripts
  The repository provides usefull python scripts for ML and data analysis
  ☆178Updated last year
• drivendataorg / hakuna-madata
  ☆20Updated 2 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• PacktPublishing / Learn-Python-by-Building-Data-Science-Applications
  Learn Python by Building Data Science Applications, published by Packt
  ☆98Updated last year
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆132Updated 4 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• catalyst-team / dl-course
  Deep Learning with Catalyst
  ☆301Updated 4 years ago
• yandexdataschool / ml-training-website
  ML Training website
  ☆44Updated 6 years ago
• shaz13 / katana
  Katana project is a FastAPI template for ASAP 🚀 ML API deployment
  ☆113Updated last year
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago