Upendra's repositories
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/
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
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