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2,951 search results found
Mixture Density Networks For Distribution And Uncertainty Estimation
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225
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Marabou
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224
Adnn
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223
Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.
Nn_vis
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221
An interactive visualization of neural networks
Dialogstatetracking
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220
Dialog State Tracking using End-to-End Neural Networks
Pine
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219
🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
Overcoming Catastrophic
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219
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Spytorch
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218
Tutorial for surrogate gradient learning in spiking neural networks
Bayesian_neural_network_papers
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218
Papers for Bayesian-NN
Bayesflow
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216
A Python library for amortized Bayesian workflows using generative neural networks.
Deephyperx
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216
Deep learning toolbox based on PyTorch for hyperspectral data classification.
Neuralverification.jl
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215
Methods to soundly verify deep neural networks
Understanding_tensorflow_nn
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212
🔮Getting started with TensorFlow: Classifying Text with Neural Networks
Bayesian Neural Network Mnist
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212
Bayesian neural network using Pyro and PyTorch on MNIST dataset
Neural Network From Scratch
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211
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Graph Cnn.pytorch
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210
Pytorch Implementation for Graph Convolutional Neural Networks
Nb
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208
Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.
Ml Roadmap
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208
🤖 Roadmap to becoming a Machine Learning developer in 2020
Deep Alignment Network A Convolutional Neural Network For Robust Face Alignment
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207
This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".
Awesome Few Shot Learning
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203
A curated list of resources about few-shot and one-shot learning
Hearthstone Ai
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202
A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.
Lstm Siamese Text Similarity
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201
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Neuralgenetic
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201
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
Deeplearning.ai Note
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199
网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”,这是自己做的一些笔记以及
Master Thesis Bayesiancnn
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197
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Bayesianrecurrentnn
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196
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Make_a_neural_network
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196
This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube
Applied Deep Learning With Keras
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195
Deep Learning examples with Keras.
Easytensorflow
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195
This package provides users with methods for the automated building, training, and testing of complex neural networks using Google's Tensorflow module. The project includes objects that perform both regression and classification tasks.
Graph Neural Network Note
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195
A blog for understanding graph neural network
Deeplearning Notes
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194
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Pytorch Estimate Flops
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193
Estimate/count FLOPS for a given neural network using pytorch
Deep_learning_tutorial
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192
[ko] 패스트캠퍼스 강의 자료
Php Fann
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192
PHP wrapper for FANN (Fast Artificial Neural Network Library)
Spiking Neural Network Snn With Pytorch Where Backpropagation Engenders Stdp
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192
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
Quickdraw
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192
A simple implementation of Google's Quick, Draw Project for humans. 🖌️ 🖼️
Awesome Gnn Recommendation
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191
Graph Neural Network
Tensormol
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190
Tensorflow + Molecules = TensorMol
Disout
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190
Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).
Lycoris
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188
A lightweight and easy-to-use deep learning framework with neural architecture search.
Nettack
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187
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
Wav2mid
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186
Automatic Music Transcription with Deep Neural Networks
Radio
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186
RadIO is a library for data science research of computed tomography imaging
Node Fann
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186
FANN (Fast Artificial Neural Network Library) bindings for Node.js
Hntitlenator
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185
Test your HN title against a neural network
Unity Neural Network
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185
Simple neural network implemented in C# for Unity3D
Online Neural Doodle
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184
Feedforward neural doodle
Hyperspectral
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184
Deep Learning for Land-cover Classification in Hyperspectral Images.
Class.vision
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184
Computer vision and Deep learning
Read Paper List
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183
Image segmentation-Object detection-Light-weight network
Simple_net
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183
A simple deep neural network implemented in C++,based with OpenCV Mat matrix class
Practical Machine Learning With Python
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182
Machine Learning Tutorials in Python
Text Pairs Relation Classification
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182
About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.
Stock Prediction
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181
Stock price prediction with recurrent neural network. The data is from the Chinese stock.
Reading List
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180
Reading list on deep learning
Gp4a
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179
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
Keraspp
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178
코딩셰프의 3분 딥러닝, 케라스맛
Deep Survey Text Classification
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177
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
N2p2
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177
n2p2 - A Neural Network Potential Package
Neuralnet
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177
An artificial neural network written in Swift
Network Speed And Compression
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176
Network acceleration methods
Mgcnn
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176
Multi-Graph Convolutional Neural Networks
Deconvolution
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176
Python Tensorflow Google
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176
Notes taken from Google Machine Learning Course provided to public for practice & correction.
Password_meter
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174
This project implements a data-driven password meter. Its effects on password security and usability were evaluated in the following publication: http://www.blaseur.com/papers/CHI17meter.pdf and a demo is available at: https://cups.cs.cmu.edu/meter/
Multihead Siamese Nets
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173
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
Vggnet Metal
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172
iPhone version of the VGGNet convolutional neural network for image recognition
Bayesianneuralnetwork
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172
a repo sharing Bayesian Neural Network recent papers
Bmxnet V2
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172
BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
Neural Cryptography Tensorflow
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171
Neural Networks that invent their own encryption 🔑
3d_nn
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170
Raymarching neural network in browsers with WebGL shaders
Cnn Relationextraction
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170
Convolution neural network for relation extraction between two given entities
Delta
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169
Deep Learning for Satellite Imagery
Neural
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166
LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contr
Shainet
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165
SHAInet - a pure Crystal machine learning library
Deepkoopman
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165
neural networks to learn Koopman eigenfunctions
Pywarm
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165
A cleaner way to build neural networks for PyTorch.
Easygen
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163
Qucumber
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163
Neural Network Many-Body Wavefunction Reconstruction
Aichip_paper_list
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161
Genre Recognition
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160
In-browser demo of a convolutional neural network for music genre recognition.
Graph Neural Networks Roadmap
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160
Deep Mri Reconstruction
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159
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Probabilistic Backpropagation
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159
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
Efficient Neural Network Bilibili
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158
B站Efficient-Neural-Network学习分享的配套代码
Emergent
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158
This is the new version of the emergent neural network simulation software, written now in Go (golang)
Awesome Deep Phenomena
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158
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
Tweet Generator
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158
Train a neural network optimized for generating tweets based off of any number of Twitter users.
Readers
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158
Neural Network Readers
Gnn_note
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158
图神经网络整理
Go Perceptron Go
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156
A single / multi layer / recurrent neural network written in Golang.
Quantum Neural Networks
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156
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
Spoonn
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156
FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
Webml Polyfill
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153
Deprecated, the Web Neural Network Polyfill project has been moved to https://github.com/webmachinelearning/webnn-polyfi
Awesome Model Compression
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152
papers about model compression
Easycnn
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151
easy convolution neural network
Deepevolve
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151
Rapid hyperparameter discovery for neural nets using genetic algorithms
Java Deep Learning Cookbook
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150
Code for Java Deep Learning Cookbook
Pydata2015
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150
Tensorfuzz
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149
A library for performing coverage guided fuzzing of neural networks
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