Create delightful software with Jupyter Notebooks
- jupyter-notebooks
- python
- literate-programming
- fastai
Repository Index
47,133 repositories indexed
1–24 of 55 · Most stars
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Python library for interactive topic model visualization. Port of the R LDAvis package.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
- jupyter-notebook
- pandas
- federal-reserve
- gdp
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Introduction to Statistics using Python
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Markdown <=> IPython Notebook
python partial dependence plot toolbox
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
Python API for Deequ
A Python library for introductory data science
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
- graph
- high-performance
- machine-learning
- knowledge-graph
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
food image to recipe with deep convolutional neural networks.
- convolutional-neural-networks
- keras
- chef
- deep-learning
Python package for Bayesian Machine Learning with scikit-learn API
- python
- bayesian-machine-learning
- machine-learning
- scikit-learn
Sources codes for: Mastering Python for Finance, Second Edition
- machine-learning
- python
- ai
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
Implementation of various topic models
An OCaml kernel for Jupyter (IPython) notebook
- ocaml
- functional-programming
- jupyter-kernels
- machine-learning