Weekly Machine Learning Opensource Roundup – Apr. 26, 2018


A smarter recycling bin system that tells residents everything they need to know about recycling, and hence motivate them to recycle more.

BeatGAN – Generating Drum Loops via GANs
This project aims to explore the ability of the same model architecture to generate significantly more complex audio patterns, namely drum beats

YOLO v3 Tutorial from Scratch
Accompanying code for tutorial series “How to Implement YOLO v3 Object Detector from Scratch”

Sequence modeling benchmarks and temporal convolutional networks


PyTorch GAN
PyTorch implementations of Generative Adversarial Networks.

CUDA reference implementation of real-time autoregressive WaveNet inference

Pytorch MADE
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

This is a hard fork of @minhnhat93’s TensorFlow Spectral Normalization GAN implementation. A number of improvements have been made, including the addition of conditioning.

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.


TensorFlow backend for TensorFlow.js via Node.js

Model summary in PyTorch similar to ‘model.summary()’ in Keras

Gimel provides unified Data API to access data from any storage like HDFS, GS, Alluxio, Hbase, Aerospike, BigQuery, Druid, Elastic, Teradata, Oracle, MySQL, etc.

Like to add your project? tweet @stkim1!

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