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Data Science Ipython Notebooks ⭐ 25,668

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Pytorch Handbook ⭐ 18,594

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友

Convnetjs ⭐ 10,389

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Keras Gan ⭐ 8,842

Keras implementations of Generative Adversarial Networks.

Keras Js ⭐ 4,879

Run Keras models in the browser, with GPU support using WebGL

[CVPR2020] Adversarial Latent Autoencoders

Tensorflow Tutorials ⭐ 2,123

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Forge ⭐ 1,224

A neural network toolkit for Metal

Descriptive Deep Learning

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Deep learning with spiking neural networks (SNNs) in PyTorch.

Deeplearningtutorial ⭐ 576

Deep learning tutorial in Chinese/深度学习教程中文版

A lightweight C library for artificial neural networks

Neural Network Genetic Algorithm ⭐ 516

Evolving a neural network with a genetic algorithm.

Convnet ⭐ 507

A GPU implementation of Convolutional Neural Nets in C++

Artistic Style Transfer ⭐ 327

Convolutional neural networks for artistic style transfer.

Create Ml App ⭐ 239

Template Makefile for ML projects in Python.

Pytorch Classification Uncertainty ⭐ 235

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Cnn From Scratch ⭐ 229

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Bayesian Neural Network Mnist ⭐ 212

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Capsule Net Pytorch ⭐ 157

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

Gan Vae Pretrained Pytorch ⭐ 148

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Merlin.jl ⭐ 138

Deep Learning for Julia

Neuralnet Handwriting Ios ⭐ 132

A handwriting recognition example for iOS using NeuralNet

Tensorflowframework ⭐ 119

An extendable framework for training neural network models using TensorFlow.

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Binarybrain ⭐ 118

Binary Neural Network Framework for FPGA(Differentiable LUT)

Cuda Neural Network ⭐ 110

Convolutional Neural Network with CUDA (MNIST 99.23%)

Ihmehimmeli ⭐ 109

Javacnn ⭐ 109

A Java implement of Convolutional Neural Network.

Efficientnet Pytorch ⭐ 108

A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

Pyconvnet ⭐ 105

Convolutional Neural Network for python users

Examples ⭐ 103

Fully-working mlpack example programs

Infermo ⭐ 102

Tensors and dynamic Neural Networks in Mojo

Red Chainer ⭐ 97

A flexible framework for neural network for Ruby

Indrnn Pytorch ⭐ 96

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

A repository for recording the machine learning code

Deepconcolic ⭐ 85

Concolic Testing for Deep Neural Networks

Interprettensor ⭐ 85

Neural Networks ⭐ 82

practical introduction to Python for neural networks, with keras and tensorflow - Oct 2016

Deep Learning Tensorflow Book Code ⭐ 78

[『텐서플로로 배우는 딥러닝』, 솔라리스, 영진닷컴, 2018] 도서의 소스코드입니다.

A 1D analogue of the MNIST dataset for measuring spatial biases and answering "science of deep learning" questions.

Minimal Nn ⭐ 73

A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.

Bp Network ⭐ 71

Multi-Classification on dataset of MNIST

Detecting Adversarial Samples ⭐ 70

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

Notmnist To Mnist ⭐ 69

A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets

Nnclustering ⭐ 68

The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Assignment2 2017 ⭐ 59

(Spring 2017) Assignment 2: GPU Executor

Mnist Bnns ⭐ 59

Take MNIST TensorFlow deep neural network, run on iOS BNNS

Deep Learning Multipliers ⭐ 57

Training deep neural networks with low precision multiplications

Mxnet_tutorial ⭐ 56

Using Mxnet!!!!

A C++ implementation to create, visualize and train Convolutional Neural Networks

Neuralnetworks ⭐ 55

A resource-conscious neural network implementation for MCUs

Bayesbyhypernet ⭐ 55

Code for the paper Implicit Weight Uncertainty in Neural Networks

Nvidia Docker Keras ⭐ 54

Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs

Pytorch_highway_networks ⭐ 53

Highway networks implemented in PyTorch.

Machinelearning ⭐ 52

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

Deep Nlp ⭐ 52

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

Nn Visualizer ⭐ 51

Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

Gopfield ⭐ 49

Hopfield neural networks in Go

Keras_odenet ⭐ 47

Implementation of (2018) Neural Ordinary Differential Equations on Keras

Ml In Tf ⭐ 45

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Dl_cv_tensorflow_10weeks ⭐ 44

딥러닝-영상인식 CAMP 10주 과정을 위한 TensorFlow 코드들

Numpy Neuralnet Exercise ⭐ 42

Implementation of key concepts of neuralnetwork via numpy

Minerva Training Materials ⭐ 41

Learn advanced data science on real-life, curated problems

Ruby Dnn ⭐ 40

ruby-dnn is a ruby deep learning library.

Strokenet ⭐ 40

a neural network that draws digits using strokes

A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python

Implementation of Deep Convolutional Generative Adversarial Networks on MNIST database in Keras

Kaggle For Fun ⭐ 38

All my submissions for Kaggle contests that I have been, and going to be participating.

Simple Neural Networks ⭐ 37

Simple Neural Networks

Nice_pytorch ⭐ 36

Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.

Neural network library written in C and Javascript

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Neural Network From Scratch ⭐ 29

Implementation of a neural network from scratch in python.

Bayesbinn ⭐ 28

Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule

Convoluted ⭐ 27

Dependently typed convolutional neural networks

Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Type-safe, high performance, distributed Neural networks in Scala

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

Siamese Neural Networks ⭐ 25

Implementation of the Siamese Neural Networks in PyTorch using MNIST dataset

Using neural-networks to recognize handwritten digits

Mnist Neural Network Deeplearnjs ⭐ 25

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

Domain Adversarial Training Of Neural Networks ⭐ 24

implement Domain-Adversarial Training of Neural Networks

8 Bit Deep Learning ⭐ 24

Training neural networks with 8-bit computations

Cnn Compression Performance ⭐ 24

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

Lbcnn.pytorch ⭐ 23

PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html

Mnist Demo ⭐ 23

An interactive demonstration of single digit classification using deep artificial neural networks

Tensorflow_basics ⭐ 23

Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.

A realtime digit OCR on the browser using Machine Learning

Cl_in_rnns ⭐ 21

Continual Learning in Recurrent Neural Networks

Digitrecognition ⭐ 20

Implementation of a digit recognition using my Neural Network with the MNIST data set.

Adversarial_reprogramming ⭐ 20

Adversarial Reprogramming of Neural Networks

Convolutional Neural Network ⭐ 20

This is a matlab implementation of CNN on MNIST

Tensorflow Mnist Convnets ⭐ 19

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

Variational_dropout_sparsifies_dnn ⭐ 18

Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer

Tensorflowmnist ⭐ 18

Various neural networks on MNIST data using TensorFlow library

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