InsNet

Instance-dependent NN library

A C++ library for building instance-dependent neural networks with padding-free dynamic batching.

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

GitHub

66 stars
3 watching
12 forks
Language: C++
last commit: about 3 years ago
Linked from 2 awesome lists

deep-learning-librarydynamic-batchingnlp

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
acrylicshrimp/tinnet A compact C++17-based deep learning library designed to simplify the implementation of neural networks. 16
attractivechaos/kann A lightweight C library for constructing and training small to medium neural networks with customizable architecture 686
huwcampbell/grenade A library for building complex neural networks in Haskell with a focus on dependently typed specifications and composability 1,449
tyill/sunnet A lightweight C++ deep learning library for building and training neural networks. 61
bruinxiong/modified-crunet-and-residual-attention-network.mxnet An MXNet implementation of a modified deep neural network architecture for image classification 67
karpathy/convnetjs A JavaScript library for training and deploying neural networks in the browser 10,889
deepakkumar1984/mxnet.sharp A .NET Standard library providing C# bindings for the Apache MXNet deep learning framework 149
yixuan/minidnn A C++ library implementing deep neural networks with good performance and modularity 397
chenpf1025/idn Provides tools and data for studying instance-dependent label noise in deep neural networks, with a focus on combating noisy labels 35
glouw/tinn A lightweight neural network library for training and prediction tasks 2,108
codeplea/genann A minimal C library for training and using feedforward artificial neural networks 2,010
kaixhin/nninit Provides parameter initialisation schemes for neural network modules in Torch7 100
100/cranium A lightweight, portable C implementation of a feedforward artificial neural network library 592
brunjlar/neural A Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms. 123
nikolaypavlov/mlpneuralnet A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. 900