A GUI for Pandas DataFrames

Display pandas' DataFrame in QTableView easily

Golf Scorecard Regconition running with OpenCv and Flask

Golf scorecard processing with OpenCV and Keras

Algorithmic Trading in Python with Machine Learning

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

MLeap: Deploy ML Pipelines to Production

Transparent bidirectional bridge between Git and Mercurial for Git

Open source Markdown editor for macOS.

A suite of boosting algorithms for the online learning setting.

Repo for experiments on pyspark and sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

PySpark + Scikit-learn = Sparkit-learn

Geocoding library for Python.

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

Lightweight library to build and train neural networks in Theano

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

scikit-learn: machine learning in Python

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scal…

Apache Spark - A unified analytics engine for large-scale data processing

NumPy and Pandas interface to Big Data

Caffe: a fast open framework for deep learning.

A set of simple Python scripts for pre-processing large files

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

Statsmodels: statistical modeling and econometrics in Python

scikit-learn: machine learning in Python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow