We compared projects with new or major release during this period.
ranks projects based on a variety of factors to measure its quality for professionals.
- Average number of Github stars in this edition:
- "Watch" Machine Learning Top 10 Open Source on
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- Topics: Openpose, Domain specific language, Shap, NumPy, Image, Obfuscated Gradients, Physics, PyTorch, TensorFlow, PirateAI
Open source projects can be useful for programmers. Hope you find an interesting project that inspires you.
Course of the month:
Openpose: OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation
[6199 stars on Github].
TensorComprehensions: A domain specific language to express machine learning workloads.
[937 stars on Github].
Shap: Explain the output of any machine learning model using expectations and Shapley values.
[821 stars on Github]. Courtesy of Scott Lundberg
NapkinML: A tiny lib with pocket-sized implementations of machine learning models in NumPy.
[320 stars on Github]. Courtesy of Erik Linder-Noren
GlobalLocalImageCompletion_TF: Globally and Locally Consistent Image Completion
[51 stars on Github]. Courtesy of Tony Shin
Obfuscated-gradients: Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
[277 stars on Github].
Visual-interaction-networks-pytorch: This's an implementation of deepmind Visual Interaction Networks paper using pytorch
[112 stars on Github].
Prototypical-Networks-for-Few-shot-Learning-PyTorch: Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
[115 stars on Github]. Courtesy of Orobix
TensorFlow implementation of CipherGAN
[55 stars on Github]. Courtesy of FOR.ai
PirateAI: Pirate trainer (Deep Learning, Autonomous Agents, 3D, Unity, Hyperopt, Keras)
[17 stars on Github]. Courtesy of Hugo
That's it for Machine Learning Monthly Open Source. If you like this curation, read best daily articles based on your programming skills on our
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