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Media Replay Engine (MRE) is a framework to build automated video clipping and replay (highlight) generation pipelines for live and video-on-demand content.
Trained a Deep Learning Model to generate automatically generate highlights from a sports video
A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The solution automatically produces forecasts and generates vis…
Free Data Engineering course!
Convert Machine Learning Code Between Frameworks
Continuous builder and binary build scripts for pytorch
Free MLOps course from DataTalks.Club
Developer guide documentation for Amazon Kinesis Video Streams
PipelineDB extension for Amazon Kinesis support
Amazon Kinesis Video Streams Producer SDK for C++ is for developers to install and customize for their connected camera and other devices to securely stream video, audio, and time-encoded data to K…
Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.
Dockerize and deploy machine learning model as REST API using Flask
A tutorial on setting up a real UR5 CB arm to run with ROS and Moveit!
Implementation of servoj() using RTDE in python for YouTube video purposes
In this repository, we focus on video frame prediction the task of predicting future frames given a set of past frames. We present an Adversarial Spatio-Temporal Convolutional LSTM architecture to …
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
Resources to learn Low-level System Design and prepare for Low-level design (LLD/Machine Coding) Interviews
A benchmark for point clouds registration algorithms