Awesome Computer Vision:
Section: Software
Entry
Appears in 5 awesome lists
is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
Section: Software
Section: Matlab · A Library for Support Vector Machines.
Section: Core ML
Section: Support Vector Machine
Section: Deep Learning Tools, Libraries, and Frameworks · is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.
Deep learning for computer vision
is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
Neural Networks on top of tensorflow, examples. keras-contrib - Keras community contributions. keras-tuner - Hyperparameter tuning for Keras. hyperas - Keras + Hyperopt: Convenient hyperparameter optimization wrapper. elephas - Distributed Deep learning with Keras & Spark. tflearn - Neural…
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD]
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, JavaScript and more. website
Machine learning from Apple. Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app.