Difference between revisions of "SW:Machine Learning"
m (J-perdue moved page SW:MachineLearning to SW:Machine Learning: needs a space there) |
(→Software for Machine Learning) |
||
| Line 4: | Line 4: | ||
*[[SW:PyTorch | PyTorch]] - Tensors and Dynamic neural networks in Python with strong GPU acceleration. | *[[SW:PyTorch | PyTorch]] - Tensors and Dynamic neural networks in Python with strong GPU acceleration. | ||
*[[SW:TensorFlow | TensorFlow]] - An open-source software library for Machine Intelligence | *[[SW:TensorFlow | TensorFlow]] - An open-source software library for Machine Intelligence | ||
| + | *[[SW:Scikit-Learn | Scikit-Learn]] - An open-source software library for data mining and data analysis. | ||
Revision as of 09:36, 23 March 2018
Software for Machine Learning
- Faster-RCNN using Tensorflow - Faster R-CNN is an object detection framework based on deep convolutional networks, which includes a Region Proposal Network (RPN) and an Object Detection Network. Both networks are trained for sharing convolutional layers for fast testing.
- Keras - Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
- PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
- TensorFlow - An open-source software library for Machine Intelligence
- Scikit-Learn - An open-source software library for data mining and data analysis.
