wielandbrendel/bag-of-local-features-models

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Build your neural network easy and fast

Repository for “Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python”

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

A collection of infrastructure and tools for research in neural network interpretability.

Image restoration with neural networks but without learning.

Training Very Deep Neural Networks Without Skip-Connections