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Top 1253 neural-network open source projects

Simple Neural Network
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
Neuroptica
Flexible simulation package for optical neural networks
Upscalerjs
Image Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.
Astronn
Deep Learning for Astronomers with Tensorflow
Srl Zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Keras Mdn Layer
An MDN Layer for Keras using TensorFlow's distributions module
Midi Rnn
Generate monophonic melodies with machine learning using a basic LSTM RNN
Obman train
[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images
Cephalopods
Evolving squids through neuroevolution
Pytorch Attention
pytorch neural network attention mechanism
Pytorch Graphsage
Representation learning on large graphs using stochastic graph convolutions.
Learning to sample
A learned sampling approach for point clouds (CVPR 2019)
Ycml
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Ysda deeplearning17
Yandex SDA classes on deep learning. Version of year 2017
Pointer Networks
Pointer Networks Implementation in Keras
Neural Network From Scratch
A Neural Network implemented from scratch (using only numpy) in Python.
Ivy
The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.
Dna2vec
dna2vec: Consistent vector representations of variable-length k-mers
Tensorflowframework
An extendable framework for training neural network models using TensorFlow.
Evolving Simple Organisms
Evolving simple organisms using a genetic algorithm and deep learning from scratch with python
Text Segmentation
Implementation of the paper: Text Segmentation as a Supervised Learning Task
Tf Kaldi Speaker
Neural speaker recognition/verification system based on Kaldi and Tensorflow
Torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Ogmaneo
Ogma - OgmaNeo
Eogmaneo
Ogma - EOgmaNeo https://ogma.ai/
Cadl
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Simple Neural Networks
Simple neural networks based only on Numpy
Adversarialdnn Playground
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
Lightnn
The light deep learning framework for study and for fun. Join us!
Jokenpo
Can a neural network predict your next move on a game of rock, paper and scissor?
Spherenet
Implementation for <Deep Hyperspherical Learning> in NIPS'17.
Neuron
Scala library for neural networks
Natural Synaptic
Javascript Natural Language Classifier
Neural network elixir
Neural network written in Elixir
Nova
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
Nalu
Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
Pyaudioclassification
🎶 dead simple audio classification
Chainercv
ChainerCV: a Library for Deep Learning in Computer Vision
Neural Net Ruby
A neural network, written in Ruby
Lm Snn
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
Mind
A neural network library built in JavaScript
Diff2vec
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Tflearn
Deep learning library featuring a higher-level API for TensorFlow.
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