Weekly Machine Learning Opensource Roundup – Dec. 6, 2018

Examples

Teaching and Learning with Jupyter
An open book about Jupyter and its use in teaching and learning.

Writing better code with pytorch and einops
Rewriting building blocks of deep learning with significant part of the code taken from official examples and tutorials.

Goal-Oriented Chatbot trained with Deep Reinforcement Learning
Goal-Oriented Chatbot trained with Deep Reinforcement Learning

A sentence-level Markov text generator
Rewriting Moby Dick Using a Neural Net

Mumbai slum segmentation
Mumbai slum rehabilitation and improvement initiative by mapping and monitoring with a deep learning approach to segment and map individual slums from satellite imagery

Awesome AI Infrastructures
Infrastructures™ for Machine Learning Training / Inference in Production

Awesome Machine Learning Interpretability
A curated list of awesome machine learning interpretability resources.

Toolsets

lambdo
A workflow engine which significantly simplifies the analysis process by unifying feature engineering and machine learning operations

mazelab
A customizable framework to create maze and gridworld environments

Kinopt
This project provides 3 main things: a way of inserting layers into an already trained keras models, new layers which facilitate feature visualization and other types on input optimization, and a way of using keras optimizers to optimize your input tensors

Models

Keras Applications
Reference implementations of popular deep learning models.

Autoencoders-Variants
Pytorch implementations of various types of autoencoders

Libraries

Optuna
An automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API

ONNX.js
A Javascript library for running ONNX models on browsers and on Node.js.

ONNX Runtime
An open-source scoring engine for Open Neural Network Exchange (ONNX) models.

Framework

YugaByte Database
A transactional, high-performance database for building distributed cloud services. It supports Cassandra-compatible and Redis-compatible APIs, with PostgreSQL in Beta.

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