Training neural models with structured signals.
APACHE-2.0 License
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
A collection of computer vision pre-trained models.
How to use TensorLayer
A curated list of dedicated resources and applications
Shows how to create basic image adversaries, and train adversarially robust image classifiers (to...
Deep Reinforcement Learning for Keras.
An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarc...
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Advanced Deep Learning with Keras, published by Packt
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...
TensorFlow and Deep Learning Tutorials
Boltzmann Machines in TensorFlow with examples
Deep learning codes and projects using Python
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.