associative_compression_networks
ML compression network
An implementation of associative compression networks using machine learning techniques in Python
43 stars
3 watching
5 forks
Language: Python
last commit: over 6 years ago machine-learning
Related projects:
Repository | Description | Stars |
---|---|---|
| This project demonstrates a method to compress the size of a neural network model without sacrificing accuracy. | 661 |
| Implementations of basic machine learning algorithms in Haskell | 57 |
| Creates inflated versions of 2D neural networks with transferred ImageNet weights for use in 3D applications | 148 |
| Automates the search for optimal neural network configurations in deep learning applications | 468 |
| A Julia implementation of a neural network architecture with backpropagation support | 47 |
| An implementation of the SqueezeNet neural network model in the Keras framework | 404 |
| Automated machine learning protocols for cheminformatics using Python | 39 |
| A Clojure library for machine learning built on top of Weka and friends | 148 |
| A Gluon implementation of Residual Attention Network for image classification tasks | 108 |
| A Python library for implementing and training various neural network architectures | 40 |
| A deep learning framework for graph autoencoder-based link prediction and node classification tasks | 254 |
| Trains an autoencoder to learn generic sentence representations using convolutional neural networks | 34 |
| An MXNet implementation of a modified deep neural network architecture for image classification | 67 |
| An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |
| An implementation of an object detection framework that incorporates relation networks and deformable convolutions | 1,096 |