A playbook for systematically maximizing the performance of deep learning models.

An open access book on scientific visualization using python and matplotlib

Simulating stratified model for the spread of COVID19 in a population.

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Probabilistic time series modeling in Python

A diffing and merging tool for the IPython Notebook.

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.…

A Python implementation of global optimization with gaussian processes.

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

😡😇 Stanford Sentiment Treebank loader in Python

📚 Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

A topic-centric list of HQ open datasets.

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

A parser for Google Scholar, written in Python

Efficient Image Captioning code in Torch, runs on GPU

A lightweight workspace manager for the shell

Easy benchmarking of all publicly accessible implementations of convnets

A Theano framework for building and training neural networks

Deep Learning for humans

Simple tutorials using Google's TensorFlow Framework

Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework

An Open Source Machine Learning Framework for Everyone

Topic Modelling for Humans

Code for the recurrent image density estimator

A recurrent neural network for generating little stories about images

Tools for managing the Conference Management Toolkit from Microsoft.