Auto-WEKA

Cloud storage for JupyterLab using Google Drive

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

AtsPy: Automated Time Series Models in Python (by @firmai)

Time Series Forecasting Best Practices & Examples

A Python library for Nasdaq Data Link's RESTful API

Gallery of applications built using bqplot and widget libraries like ipywidgets, ipydatagrid etc.

Portfolio and risk analytics in Python

A flexible, intuitive and fast forecasting library

A collection of projects published by Bloomberg's Quantitative Finance Research team.

Measure and visualize machine learning model performance without the usual boilerplate.

Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.

Nasdaq's realtime streaming stock market data for hackathons.

Lightweight Python library for assembling and analysing financial data

Library and tools for advanced feature engineering

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

Awesome list of AutoML frameworks - curated by @oskar-j

A curated list of awesome Machine Learning frameworks, libraries and software.

Curated list of libraries for a faster machine learning workflow

ADMM based large scale logistic regression

Provide an input CSV and a target field to predict, generate a model + code to run it.

My tensorflow sandbox

Automatic extraction of relevant features from time series:

Basic Development Environment - a set of foundational C++ libraries used at Bloomberg.

Materialize, a CSS Framework based on Material Design