A Theano framework for building and training neural networks

Blocks Blocks is a framework that helps you build neural network models on top of Theano. Currently it supports and provides: Constructing parametrized Theano operations, called "bricks" Pattern matching to

Related Repos



acoMCMXCVI The purpose of this project is to create system that is able to collect data and prepare dataset, just as training neural network for end-to-end imitation learning for autonomous driving, in purpose of research of the autonomous driving concepts.
 

ramanshsharma2806 A flight price estimator made with TensorFlow and Keras for the mia startup. Trained on numerous continuous and categorical variables. Ensemble neural network with Embedding layers used with Adam optimization
 

deepraj1729 Plate Detection using YOLO v3 powered by OpenCV >=3.x
 

Bevin7 Use Deep Learning and Opencv for face mask Detection.
 

mrtj pybind11 wrapper to access Nvidia DeepStream tracker meta info from Python.
 

HaohanWang Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
 

HaohanWang Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
 

jrzaurin A tour through recommendation algorithms in python