Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

CUDA Templates for Linear Algebra Subroutines

LAVIS - A One-stop Library for Language-Vision Intelligence

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Machine Learning Practical Course Code Repository

Manipulate tensors with PackedSequence and CattedSequence

A curated list of awesome Machine Learning frameworks, libraries and software.

This tutorial provide a step-by-step pipeline to install an effective Python set-up optimized for deep learning for Ubuntu LTS, containing libraries to use efficiently the last versions of Tensorflow and Pytorch with the GPU and a comfortable environment of work with flexible and highly customizable IDE (VSCode) and environment manager (Virtuale…

An Educational Framework Based on PyTorch for Deep Learning Education and Exploration

Library for auto differentiation based purely on NumPy

A deep learning library created from scratch

auto_labeler - An all-in-one library to automatically label vision data

Detect spam using deep learning in Java

A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

A lightweight deep learning library

Some data preprocessing scripts to generate label mask from Labelbox and ImageJ annotations to use them to train semantic segmentation deep learning models

A simple NumPy-based deep learning framework. Create and train neural networks easily, experiment with backpropagation, optimization, and explore the code to grasp the inner workings.

Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.