### Examples

pandas-tutorial

Beginner guide to data wrangling with Pandas and advance concepts on scaling pandas for large datasets

stocksight

Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

### Toolsets

Talos

Hyperparameter Optimization for Keras Models

ArviZ

Python package to plot and analyse samples from probabilistic models

T4

Dropbox for data science, built on S3

Holodeck

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

### Models

Vel

Bring velocity to deep-learning research, by providing tried and tested large pool of prebuilt components that are known to be working well together.

CNNVocoder

A fast cnn-based vocoder. This work is inspired from m-cnn model described in “Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks”.

Progressive InfoGAN

Progressive training of GANs with Mutual Information Penalty

### Libraries

Infer.NET

Infer.NET is a framework for running Bayesian inference in graphical models

garage

A framework for reproducible reinforcement learning research

PyCM

A multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters.