mikepm35 / TfLambdaDemo

Related projects ⓘ

Alternatives and complementary repositories for TfLambdaDemo

• jacopotagliabue / tensorflow_to_lambda_serverless
  Serve tensorflow models prediction from AWS lambda endpoints
  ☆58Updated 7 years ago
• aws-samples / aws-sagemaker-ground-truth-recipe
  A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type
  ☆25Updated 2 years ago
• vbezgachev / tf_aws_lambda
  Serverless serving of TensorFlow models with AWS lambda
  ☆30Updated 6 years ago
• awslabs / visual-search
  Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.
  ☆63Updated 3 years ago
• cedrickchee / pytorch-serving
  [UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.
  ☆17Updated 5 years ago
• HumanSignal / pyheartex
  Heartex Python SDK - Connect your own models to Heartex Data Labeling
  ☆27Updated 3 years ago
• Octavian-ai / synthetic-graph-data
  Synthetic data generation for graph ML experiments
  ☆23Updated 3 years ago
• awslabs / rekognition-video-utils
  Reference implementation on labeling video frames using Amazon Rekognition. The repo also contains some OpenCV based video utilities for …
  ☆39Updated 5 years ago
• michaelulin / pytorch-caffe2-aws-lambda
  Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX
  ☆47Updated 7 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• awsdocs / amazon-transcribe-developer-guide
  The open source version of the Amazon Transcribe docs. You can submit feedback & requests for changes by submitting issues in this repo o…
  ☆26Updated last year
• patrick-michelberger / serverless-machine-learning
  How to deploy serverless Machine Learning Microservice with AWS Lambda, API Gateway and scikit-learn
  ☆45Updated 6 years ago
• aws-samples / aws-ml-vision-end2end
  Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens)…
  ☆26Updated 6 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆18Updated 5 years ago
• antonpaquin / Tensorflow-Lambda-Layer
  Lets you import Tensorflow + Keras from an AWS lambda
  ☆86Updated 5 years ago
• mkurovski / emnist_dl2prod
  JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment
  ☆30Updated 5 years ago
• beringresearch / lab
  A lightweight command line interface for the management of arbitrary machine learning tasks
  ☆19Updated 3 years ago
• aws-samples / easy-amazon-sagemaker-deployments
  SageMaker custom deployments made easy
  ☆57Updated 10 months ago
• axsaucedo / seldon-core
  Machine Learning Deployment for Kubernetes
  ☆18Updated 11 months ago
• Octavian-ai / article-1
  Review prediction with Neo4j and TensorFlow
  ☆23Updated 6 years ago
• PipelineAI / notebooks
  Sample Notebooks for PipelineAI
  ☆44Updated 2 years ago
• joseprsm / rexify
  🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
  ☆18Updated last year
• FraPochetti / KagglePlaygrounds
  ☆33Updated 8 months ago
• algorithmiaio / model-deployment
  Examples showcasing model deployment
  ☆17Updated last year
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• hhsecond / ml2rt
  Machine learning utilities for model conversion, serialization, loading etc
  ☆27Updated last year
• gnes-ai / hub
  GNES Hub ship AI/ML models as Docker containers and use Docker containers as plugins.
  ☆34Updated 5 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• alecrubin / pytorch-serverless
  FastAI PyTorch Serverless API (w/ AWS Lambda)
  ☆153Updated 6 years ago