VLFeat
VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching.
VLFeat Alternatives
The best VLFeat alternatives based on verified products, community votes, reviews and other factors.
Latest update:
-
Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
-
TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
-
Clear. Fast. Unlimited. Residential & Mobile Proxies For Best Price .
-
OpenCV is the world's biggest computer vision library
-
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
-
Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.
-
Heroku for deep learning
-
Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
-
Social media analytics platform
-
DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.
-
Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.
-
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.
-
Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
-
Caffe is an open source, deep learning framework.