7064 Open source projects that are alternatives of or similar to Google It Automation

XRAutomatedTests is where you can find functional, graphics, performance, and other types of automated tests for your XR Unity development.

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube

🍭 Cursor theme inspired on Google

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Implementation of SRGAN in Keras. Try at: www.fixmyphoto.ai

The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning

Social media research and promotion, semi-autonomous CLI bot

Mastering Quantum Computing with IBM QX, published by Packt

On Network Design Spaces for Visual Recognition

Juypter notebooks playground to explore and analyse economy and finance ideas

Data visualization course material

Books, papers and links to latest research in ML/AI

SQL Server 2019 Workshop

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Data and code for BuzzFeed's bikeshare gender maps.

Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK

Tribe extracts a network from an email mbox and writes it to a graphml file for visualization and analysis.

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Bee is a tool for helping develop with beego app framework.

Automatic detection of foreign objects on chest X-rays

這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。

Keyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and other techniques.

TensorRT and TensorFlow demo/example (python, jupyter notebook)

Terraform - Beginners | Intermediate | Advanced

Chisel Learning Journey

A collection of examples for the ML.NET machine learning package from Microsoft

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

Explore 120 million taxi trips in real time with Dash and Vaex

Measurement and processing of binaural impulse responses for personalized surround virtualization on headphones.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

https://github.com/ageron/handson-ml2

A comparison of ffmpeg, Shotdetect and PySceneDetect for shot transition detection

This utility synchronizes Calendar entries between different calendar providers (Apps like Outlook,Services EWS/Google/Live).

NYU Math-GA 2048: Scientific Computing in Finance

Notebooks about Bayesian methods for machine learning

intro to machine learning - reverse engineering phenomena

SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos

Powered by Cookiecutter, Cookiecutter Django Ansible is a framework for jumpstarting an ansible project for provisioning a server that is ready for your cookiecutter-django application.

Geophysical Tutorials for 2016

Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"

Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/

Learn Nipype with these tutorial notebooks - go here to see them online -->

This is the code for "Logistic Regression" By Siraj Raval on Youtube

Google Client Plugin for Xamarin iOS and Android

Fully automated python fuzzer built to test if code actually is production ready in seconds.

environment setup for strata conference 2018

A tool to predict the depth field of a 2-dimensional image

Lightweight implementation of neural style in Pytorch with SqueezeNet

A Tutorial for Serving Tensorflow Models using Kubernetes

Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning".

A walkthrough of some Google Earth Engine Features, as well as using the data in TensorFlow

Codes for Learning Affinity via Spatial Propagation Networks

"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n

Experimenting with and teaching probabilistic programming