Rachnog / Optimization-Cookbook

Related projects: ⓘ

• drivendataorg / power-laws-optimization
  Example repository for the Power Laws: Optimizing Demand-side Strategies competition on DrivenData
  ☆27Updated last year
• kperry2215 / electricity_price_time_series_analysis
  This project pulls electricity price data from the EIA API, and then performs time series analysis on it, including time series decomposi…
  ☆12Updated 5 years ago
• tirthajyoti / mlr
  Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
  ☆31Updated 5 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 3 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 6 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 4 years ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆29Updated 6 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 7 years ago
• Pyomo / PyomoGettingStarted
  ☆36Updated this week
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated last year
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 7 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• zygmuntz / kaggle-solar
  Code for Solar Energy Prediction Contest at Kaggle
  ☆17Updated 10 years ago
• Nikasa1889 / ShortTermLoadForecasting
  ☆12Updated 7 years ago
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆60Updated last year
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆20Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆91Updated last year
• statsmaths / stat665
  ☆28Updated this week
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆23Updated 7 years ago
• sidorof / Thymus-timeseries
  An intuitive library tracking dates and timeseries in common using numpy arrays. -- https://sidorof.github.io/Thymus-timeseries/
  ☆18Updated 6 months ago
• bwengals / pymc
  Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
  ☆9Updated 3 months ago
• cs109-energy / cs109-energy.github.io
  ☆30Updated 6 years ago
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 7 years ago
• mikemull / Notebooks
  Ipython notebooks on various topics
  ☆67Updated 5 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 7 years ago