Python Libraries for Performing Statistical Coupling Analyses of Protein Sequence Alignments
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If you would like to contribute to this project, contact Kevin Dalton at [email protected] or Alexandre Colavin at [email protected]
Type: User
Python Libraries for Performing Statistical Coupling Analyses of Protein Sequence Alignments
=====
If you would like to contribute to this project, contact Kevin Dalton at [email protected] or Alexandre Colavin at [email protected]
This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
1st Place Season one & 6th Place Season two
Project in which unsupervised learning techniques are applied on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data.
Building the Coffee Quality Institute Database
Capacitated Vehicle Routing Problem with Time Windows (NP-Hard). Winner at ICHack 18.
:car: Solving Traveling Salesman Problem (TSP) using Deep Learning
This machine learning model (deep and wide learning model) helps us to implement dynamic pricing feature of a supply chain business problem. This model uses tensorflow to solve the problem and can be structured accordingly to run efficiently on Google Cloud Platform.
Solution to vehicle routing problem using machine learning techniques
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Heterogeneous capacitated vehicle routing problem
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
A model for inventory optimization for uncertain demands
Algorithms Library for Supply Chain Inventory Optimization
It can be described as the combination of vehiclerouting and inventory management problems, in which a supplier has to deliver products to a number of geographically dispersed customers, subject to side constraints. It provides integrated logistics solutions by simultaneously optimizing inventory management, vehicle routing, and delivery scheduling. Some exact algorithms and several powerful metaheuristic and matheuristic approaches have been developed for this class of problems, especially in recent years. The purpose of this article is to provide a comprehensive review of this literature, based on a new classification of the problem. We categorize IRPs with respect to their structural variants and the availability of information on customer demand.
Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., collect and transmit data on a continuous basis which is Time stamped.
Kaggle Project: Bosch Manufacturing
Kaggle competition: Caterpillar Tube Pricing
The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
Context-Aware Multi-Modal Transportation Recommendation
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
In the recent past, e-commerce companies have emerged and flourished in the industry. They offer the convenience to order from a wide variety of options from the comfort of one’s home. But how do they offer these “wide variety of options or products”? To be able to meet the demands of the customers, any e-commerce company would obviously need to st
multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
1st Place Solution for O2O Coupon Usage Forecast
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.