Weekly Machine Learning Opensource Roundup – Mar. 1, 2018

Examples

Paradigms of Artificial Intelligence Programming (1992)
The repository for Peter Norvig’s book and Lisp code

Capsnet – Traffic sign classifier
A Tensorflow implementation of CapsNet(Capsules Net) applied on german traffic sign dataset

Sklearn Interpretable Tree
Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)

Toolsets

DeepPavlov
An open source library for building end-to-end dialog systems and training chatbots (early alpha release).

CheXNet Keras
This project is a tool to build CheXNet-like models, written in Keras.

Models

Handwriting Synthesis
Implementation of the handwriting synthesis experiments in the paper Generating Sequences with Recurrent Neural Networks by Alex Graves

MADDPG
An implementation of Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.

One Pixel Attack in Keras
Keras reimplementation of “One pixel attack for fooling deep neural networks” using differential evolution on cifar10

Libraries

Aurora
Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

Magnitude
A feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner


Like to add your project? tweet @stkim1!

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s