shirangi Goto Github PK
Name: Mehrdad G Shirangi
Type: User
Company: GE
Bio: AI Leader | Stanford PhD
Location: San Jose, CA
Blog: optimalytix.com
Name: Mehrdad G Shirangi
Type: User
Company: GE
Bio: AI Leader | Stanford PhD
Location: San Jose, CA
Blog: optimalytix.com
This repository contains MATLAB codes for visualization and plotting simulation results of Stanford ADGPRS (Automatic-Differentiation-based General Purpose Research Simulator).
This repository contains wrappers used to write simulation input files for adgprs-based derivative-free optimization.
A curated list of deep learning image classification papers and codes
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Papers for Bayesian-NN
A Python implementation of global optimization with gaussian processes.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.
Turning web forms into conversations
Decline Curve Analysis Tools
Distributed Evolutionary Algorithms in Python
A new framework for decline curves that account for varying conditions using recurrent neural networks
Decline Curve Analysis for PEGN 598A Data Analytics
Repository for Doctor AI project
Data Science Resources (Mostly Free)
A toolkit for developing and comparing reinforcement learning algorithms.
Collection of scripts Astronomers may find usefull
Learn OpenCV : C++ and Python Examples
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
highly-constrained non-convex optimization and uncertainty quantification
Python library for optimizing noisy functions.
Python Adaptive Signal Processing
the Penn AI engine.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A python Linear Programming API
Complete Python interface to IEX and IEX cloud APIs
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Python Cookbook, 3rd Edition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.