Fernando Zingler's repositories
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
AgroChain
Agricultural Supply Chain Dapp With Micro-Finance
ap-latam
Detection of slums and informal settlements from satellite imagery
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Bike-sharing-Pattern-Prediction
A bicycle company wants to take a decision wether their is a requirement to buy additional bicycles or not.Company also wants to know when their is a high demand for bicycles to comprehend whole supply chain.This will enable company to make better decision such as renting extra bikes/employees during peak time.
car-counting-with-python
Car counting with python and Opencv, (Python ve Opencv ile Araç sayma işlemi )
cargox_blog_posts
Repositório com nossos blog posts e code samples.
Case-Study-Enhanced-Design-Innovation-Strategies-for-Amazons-One_Day-Delivery-in-the-US
• Conducted research & evaluated solutions for development & improvement of Amazon’s logistical system of 1-day shipping across US • Discussed and incorporated various factors such as competition/ global politics/ technology induced issues that influence the supply-chain operations of Amazon.Inc and provided solutions to meet the constant needs to react to continuous changing global business environment
discrete-optimization
Solutions for assignments of the Coursera course "Discrete Optimization"
examples
TensorFlow examples
grid
Grid provides reference implementations of supply-chain-centric items – data types, data models, smart contracts, and more – that are anchored on existing open standards and industry best practices.
JuliaDataScience
Book on Julia for Data Science
Jupyter-Tutoriais
Jupyter Notebooks com tutorias sobre python, numpy, pandas e matplotlib
Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
morsc_pyomo_tutorial
Notebook with pyomo tutorial
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:
road-orientation-map
A visualization of road orientations on an interactive map
SalesPrediction_For_SupplyChain
Sales forecasting for the supply chain industry.
sc_planner
Supply chain planning using max flow formulated as mixed integer linear programming
sidewalkwidths-nyc
Measuring sidewalk widths for NYC using sidewalk outlines.
Supply-Chain-Design-
Supply chain network optimization for oilseed processing (bio-diesel application)
TSP-heuristics
Implementing various heuristics for Traveling Salesman Problem (TSP), Namely Lin-Kernighan Heuristic, Nearest Neighbor Heuristic,