Supporting package for the book 'Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python'
Artificial Neural Networks architect
Idiap's implementation for the paper: A face Antispoofing Database with Diverse Attacks
LBP-TOP based countermeasure against facial spoofing attacks
Utility package for anti-spoofing countermeasures
Automated Neural-graph Toolkit: A Tensorflow wrapper for common deep learning tasks and rapid development of innovativemodels. Developed at Hutch Research, Western Washington University.Support for multiple input and output neural network graphs. Model visualizations and extensively documented interface. Explore tensorflow functionality and deep learning fundamentals.
Deep Learning over PyTorch
Create API.ai agents in a heartbeat
Single Particle Data Analysis Suite
A python robotic framework and tools
This is a library for reading ARPA n-gram models.
Simple core for creating chat bots in VK.com
Python interface to peform asteroseismic modelling with the asamba grid
ASAP Answer Set Application Programming
A learning algorithm for the 20 questions game.
Attentive Self-Modifying Cognitive Architecture
Qualitative and quantitative optimization in answer set programming
Automatic Speech Recognition (ASR) tools