sar2160

sar2160's Stars

• CollinRooney12/htsprophet

  Hierarchical Time Series Forecasting using Prophet

  Language:Python14340

• krasserm/bayesian-machine-learning

  Notebooks about Bayesian methods for machine learning

  Language:Jupyter Notebook1.8k465

• atsa-es/atsar

  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.

  Language:C++4816

• quantopian/pyfolio

  Portfolio and risk analytics in Python

  Language:Jupyter Notebook5.7k1.8k

• luke14free/pm-prophet

  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

  Language:Python32842

• dask/dask-tutorial

  Dask tutorial

  Language:Jupyter Notebook1.8k708

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  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 ;)

  Language:Jupyter Notebook26.9k7.9k

• DataResponsibly/DataSynthesizer

  Language:HTML26185

• rtrangucci/multi_output_gps

  Language:Stan134

• pymc-devs/pymc-resources

  PyMC educational resources

  Language:Jupyter Notebook2k746

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++13.3k1.2k

• amueller/COMS4995-s18

  COMS W4995 Applied Machine Learning - Spring 18

  Language:Jupyter Notebook15865

• jameshensman/VFF

  Variational Fourier Features

  Language:Python8324

• gboeing/osmnx-examples

  Gallery of OSMnx tutorials, usage examples, and feature demonstations.

  Language:Jupyter Notebook1.6k525

• mthh/gpd_lite_toolbox

  Mini toolbox using geopandas/GeoDataFrame and providing some convenience functions

  Language:Python6414

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.6k986

• jgabry/bayes-vis-paper

  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

  Language:TeX6415

• romanegloo/deepsat

  using CNN with Satellite images - dataset from LSU

  Language:Jupyter Notebook46

• machrisaa/tensorflow-vgg

  VGG19 and VGG16 on Tensorflow

  Language:Python2.2k1.1k

• mbjoseph/CARstan

  Conditional autoregressive models in Stan

  Language:Stan3312

• cosmicBboy/themis-ml

  A library that implements fairness-aware machine learning algorithms

  Language:Jupyter Notebook12526

• larspars/word-rnn

  Recurrent Neural Network that predicts word-by-word

  Language:Lua474103

• minimaxir/char-embeddings

  A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

  Language:Python214141

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.7k2.6k

• visgl/deck.gl

  WebGL2 powered visualization framework

  Language:TypeScript12.3k2.1k

• Bus-Data-NYC/mta-bus-archive

  Scrape and archive realtime bus position data

  Language:Python11

• JasonKessler/scattertext

  Beautiful visualizations of how language differs among document types.

  Language:Python2.3k293

• stan-dev/pystan2

  PyStan, the Python interface to Stan

  Language:Python921188

• timescale/timescaledb

  An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

  Language:C18k888

• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java13k2.7k