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awesome-scalability

High Scalability, High Availability, High Stability, High Performance, and High Intelligence Back-End Design Patterns

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

cloudml-samples

Samples for Google Cloud Machine Learning Engine

cocoapp

Flask webapp for coconut tree detector, live demo at http://65.19.132.170/

coconuts

Dev notebooks to train coconut tree detector. Demo app at http://65.19.132.170/

fastapi-ml-quickstart

flasksaas

A great starting point to build your SaaS in Flask & Python, with Stripe subscription billing 🚀

keras_realtime_multi-person_pose_estimation

Keras version of Realtime Multi-Person Pose Estimation project

learn_computer_science_in_5_months

This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube

pdf

Simple http microservice that converts Word documents to PDF

production_ml

A Guide to Scaling Machine Learning Models in Production

public-apis

📚 A public list of APIs from round the web.

rest-tutorial

Files for my REST API tutorials featuring a server written in Python and a web client written in Javascript.

simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-tensorrt

This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

tensorflow_object_tracking_video

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tf-estimator-tutorials

This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way

tf-world-tutorial

TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft

tf_serving_example

Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure

tf_serving_flask_app

Creation of REST API for TensorFlow models hosted by TensorFlow Serving

tfhubsample

Demonstration of usage of different types of TensorFlow Hub modules integrated with Datasets, Iterators and Saved_Models.

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

u-net-brain-tumor

U-Net Brain Tumor Segmentation

yolo_google-cloud

Google Cloud Machine Learning for backend YOLO v3 object detection inference with a browser based WebRTC connection