jmsCompany's repositories
bayesianpy
A Python SDK for building, training and querying Bayesian networks (a.k.a. belief networks), from a machine learning perspective. This wraps the BayesServer Java API.
d2ix
d2ix: A Model Input-Data Management and Analysis Tool for MESSAGEix (https://doi.org/10.3390/en12081483)
d2ix_examples
d2ix: A Model Input-Data Management and Analysis Tool for MESSAGEix (https://doi.org/10.3390/en12081483)
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
django-bootstrap4
Bootstrap 4 integration with Django.
domains
域名发布页
machine_learning_examples
A collection of machine learning examples and tutorials.
message_ix
The integrated assessment and energy systems model MESSAGEix
neo4j-browser
Neo4j's client application. Query, visualize, manage.
neo4jd3
Neo4j graph visualization using D3.js
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 ;)
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
rivus
A mixed integer linear optimisation model for energy infrastructure networks
switch
A Modern Platform for Planning High-Renewable Power Systems
temoa
Tools for Energy Model Optimization and Analysis
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook