deep-learning-library topic

Library for learning and inference with Sum-product Networks

pronobis

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

chncwang

CUDA Templates for Linear Algebra Subroutines

NVIDIA

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

SforAiDl

Tiny and elegant deep learning library

kaszperro

Lightweight library to build and train neural networks in Theano

Lasagne

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

tariqdaouda

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.

SciSharp

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

neuralmagic

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

cbaziotis