Machine Learning Open Source of the Month (v.June 2019)
For the past month, we ranked nearly 250 Machine Learning Open Source Projects to pick the Top 10.
We compared projects with new and 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: 1,622 ⭐️
- “Watch” Machine Learning Top 10 Open Source on Github and get email once a month.
Open source projects can be useful for programmers. Hope you find an interesting project that inspires you.
Course of the month:
A) Autonomous Cars: Deep Learning and Computer Vision in Python. Use OpenCV, Keras, object and lane detection and traffic sign classification.[2,719 recommends, 4.5/5 stars]
B) Reinforcement Learning: Deep Reinforcement Learning in Python. [20,396 recommends, 4.6/5 stars]
Rank 1
DeepFaceLab: DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Courtesy of iperov
[3921 stars on Github]
Rank 2
Graphics: TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow Courtesy of TensorFlow and Julien Valentin
[1694 stars on Github]
Rank 3
Smplify-x: Expressive Body Capture: 3D Hands, Face, and Body from a Single Image Courtesy of Vassilis Choutas
[127 stars on Github]
Rank 4
Xlnet: XLNet: Generalized Autoregressive Pretraining for Language Understanding Courtesy of Manraj Singh
[3153 stars on Github]
Rank 6
EfficientNet-PyTorch: A PyTorch implementation of EfficientNet Courtesy of Luke Melas-Kyriazi
[1658 stars on Github]
Rank 7
Text: Making text a first-class citizen in TensorFlow. Courtesy of Robert Neale
[292 stars on Github]
Rank 8
MarioO_O-flow-curioisty: Playing SuperMario via flow-based curiosity exploration & RL agent. Courtesy of CodingChick
[74 stars on Github]
Rank 9
Pacnet: Pixel-Adaptive Convolutional Neural Networks (CVPR ’19) Courtesy of Hang Su
[164 stars on Github]
That’s it for Machine Learning Monthly Open Source. Visit our publication to find top posts for more programming skills.
