Machine Learning Open Source of the Month (v.Aug 2019)

For the past month, we ranked nearly 250 Machine Learning Open Source Projects to pick the Top 10. We compared projects with new or major release during this period. Mybridge AI ranks projects based on a variety of factors to measure its quality for professionals.

Average number of Github stars in this edition: 1,355 ⭐️

Open source projects can be useful for programmers. Hope you find an interesting project that inspires you.

Also see the post on Medium

Course of the month:

A) TensorFlow 2.0 [2019]: Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case [8,719 recommends, 4.5/5 stars]
B) Computer Vision: Python for Computer Vision with OpenCV and Deep Learning [10,136 recommends, 4.5/5 stars]

Rank 1

UGATIT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation [★3346]

Rank 2

Dlrm: An implementation of a deep learning recommendation model (DLRM) [★1318]

Rank 3

Real-Time-Voice-Cloning: Clone a voice in 5 seconds to generate arbitrary speech in real-time [★4546]

Rank 4

RAdam: On The Variance Of The Adaptive Learning Rate And Beyond [★1092]

Rank 5

TensorNetwork: A library for easy and efficient manipulation of tensor networks. [★783]

Rank 6

Megatron-LM: Ongoing research training transformer language models at scale, including: BERT & GPT-2 [★911]

Rank 7

Python_autocomplete: A simple neural network for python autocompletion [★621]

Rank 8

Realistic-Neural-Talking-Head-Models: My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.). [★193]

Rank 9

TecoGAN: Source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN [★971]

Rank 10

Buffalo: A fast and scalable production-ready open source project for recommender systems [★222]