llzenoll

llzenoll's Stars

• apache/superset

  Apache Superset is a Data Visualization and Data Exploration Platform

  Language:TypeScript63.3k14.1k

• jmschrei/pomegranate

  Fast, flexible and easy to use probabilistic modelling in Python.

  Language:Python3.4k590

• AileenNielsen/TimeSeriesAnalysisWithPython

  Language:Jupyter Notebook1.8k1.1k

• RJT1990/PyData2016-SanFrancisco

  A Tour of Time Series Analysis

  236

• klarsen1/bstspost

  Language:HTML8735

• Sentdex/pygta5

  Explorations of Using Python to play Grand Theft Auto 5.

  Language:Python3.9k819

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python15k4.1k

• dennybritz/deeplearning-papernotes

  Summaries and notes on Deep Learning research papers

  4.4k903

• danieldjohnson/biaxial-rnn-music-composition

  A recurrent neural network designed to generate classical music.

  Language:Python1.9k379

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.5k1.7k

• jonsedar/pymc3_vs_pystan

  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

  Language:Jupyter Notebook12843

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python227k25k

• sloria/PythonORMSleepy

  Python ORM/ODM Examples, For The Sleepy

  Language:Python21138

• gapatino/Doing-frequentist-statistics-with-Scipy

  Repository for the PyData DC 2016 tutorial

  Language:Jupyter Notebook2919

• ebenolson/pydata2015

  Language:Jupyter Notebook14955

• magenta/magenta

  Magenta: Music and Art Generation with Machine Intelligence

  Language:Python19.2k3.7k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k45.8k

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.4k10k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k4.5k

• jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

  LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

  Language:Python4.9k2k