yumeone Goto Github PK

emmetts-ds-notebooks

Random notebooks for various projects.

events

f2py-examples

Examples of using f2py to get high-speed Fortran integrated with Python easily

fastai-book

Code from Deep learning for coders with fastai and PyTorch book by Jeremy Howard

fastbook

The fastai book, published as Jupyter Notebooks

featurewiz

Use advanced feature engineering strategies and select the best features from your data set fast with a single line of code.

folium

Python Data. Leaflet.js Maps.

gan_sample

gans_simpleexample

Simple one-dimensional example using GANs

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

git_practice

github_practice

hands-on-data-analysis-with-pandas

Materials for following along with Hands-On Data Analysis with Pandas.

hands-on-exploratory-data-analysis-with-python

Hands-on Exploratory Data Analysis with Python, published by Packt

hands-on-machine-learning-with-scikit-learn-and-scientific-python-toolkits

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

hydrodl

hydroeval

An efficient evaluator for streamflow time series in Python

hydrogis

practices for gis in hydrology

image_tagger

CNN multi-label image classifier 🖼️.

imagededup

😎 Finding duplicate images made easy!

ipyvolume

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

kibana-visualizer

Kibanaを使ってはてブを可視化してみるデモ

learning-geospatial-analysis-with-python-third-edition

Learning Geospatial Analysis with Python – Third Edition, published by Packt

lecture_pytorch

YouTubeのライブ講義「【Live!人工知能 】PyTorchで実装するディープラーニング」、およびUdemyコース「PyTorchで実装するディープラーニング」で使用する教材です。

lstm-flood-prediction

Applying LSTM on river water level data

lstm-water-table-depth-prediction

Theano implementation of our paper 'Developing a Long Short-Term Memory (LSTM) based Model for Predicting Water Table Depth in Agricultural Areas', Journal of Hydrology.

lux

Python API for Intelligent Visual Data Discovery

machinelearning-book

書籍 AIエンジニアを目指す人のための機械学習入門（清水琢也・小川雄太郎、技術評論社、20/04/13） のサポートリポジトリ