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271 search results found

Tensorflow Examples ⭐ 43,109

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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.

Jina ⭐ 19,573

☁️ Build multimodal AI applications with cloud-native stack

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.

Fashion Mnist ⭐ 9,856

A MNIST-like fashion product database. Benchmark 👇

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

Deep Learning Keras Tensorflow ⭐ 2,863

Introduction to Deep Neural Networks with Keras and Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

Determined ⭐ 2,715

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Tensorflow Tutorials ⭐ 2,123

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Bayesian Neural Networks ⭐ 1,633

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Advanced Deep Learning With Keras ⭐ 1,534

Advanced Deep Learning with Keras, published by Packt

Grenade ⭐ 1,430

Deep Learning in Haskell

Awesome Tensorflow Chinese ⭐ 1,249

Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861

Forge ⭐ 1,224

A neural network toolkit for Metal

Dl4us ⭐ 1,107

Tensorflow 101 ⭐ 1,100

learn code with tensorflow

Deep Learning Experiments ⭐ 1,050

Videos, notes and experiments to understand deep learning

Keract ⭐ 1,030

Layers Outputs and Gradients in Keras. Made easy.

Federated Learning Pytorch ⭐ 902

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Pytorch Deform Conv ⭐ 866

PyTorch implementation of Deformable Convolution

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

Descriptive Deep Learning

Boltzmann Machines ⭐ 792

Boltzmann Machines in TensorFlow with examples

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Ufldl_tutorial ⭐ 680

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Pytorch Vqvae ⭐ 679

Vector Quantized VAEs - PyTorch Implementation

Disentangling Vae ⭐ 668

Experiments for understanding disentanglement in VAE latent representations

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

Fundamentals Of Deep Learning Book ⭐ 571

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

Deep Svdd Pytorch ⭐ 538

A PyTorch implementation of the Deep SVDD anomaly detection method

A lightweight C library for artificial neural networks

Vae Cvae Mnist ⭐ 508

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Androidtensorflowmnistexample ⭐ 460

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Capsnet Pytorch ⭐ 409

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Dl_pytorch ⭐ 361

Code for the Deep Learning with PyTorch lesson

Adversarial Examples Pytorch ⭐ 353

Implementation of Papers on Adversarial Examples

Caffe64 ⭐ 335

No dependency caffe replacement

Caffe Mobile ⭐ 310

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

Largemargin_softmax_loss ⭐ 297

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

Kekoxtutorial ⭐ 289

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Awesome Deep Vision Web Demo ⭐ 285

A curated list of awesome deep vision web demo

Theano Lights ⭐ 269

Deep learning research framework based on Theano

Mnist_center_loss_pytorch ⭐ 254

A PyTorch implementation of center loss on MNIST

Deep Learning From Scratch ⭐ 250

Six snippets of code that made deep learning what it is today.

Minimalist implementation of VQ-VAE in Pytorch

Cnn From Scratch ⭐ 229

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

Cudnn Training ⭐ 218

A CUDNN minimal deep learning training code sample using LeNet.

Tensorflow Adversarial ⭐ 204

Crafting adversarial images

Easy Neural Ode ⭐ 186

Code for the paper "Learning Differential Equations that are Easy to Solve"

Tripletnet ⭐ 174

Deep metric learning using Triplet network

Tensorflow 101 ⭐ 168

中文的 tensorflow tutorial with jupyter notebooks

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Typedflow ⭐ 153

Typed frontend to TensorFlow and higher-order deep learning

Cnn Svm ⭐ 151

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Easycnn ⭐ 151

easy convolution neural network

Tensorflow Mnist Gan Dcgan ⭐ 149

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Keras Arcface ⭐ 148

Keras implementation of ArcFace, CosFace, and SphereFace

Gan Vae Pretrained Pytorch ⭐ 148

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

Syft.js ⭐ 145

The official Syft worker for Web and Node, built in Javascript

Merlin.jl ⭐ 138

Deep Learning for Julia

Neuralnet Handwriting Ios ⭐ 132

A handwriting recognition example for iOS using NeuralNet

Swift4tf ⭐ 130

A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.

Deep Learning ⭐ 128

Deep Learning Application Examples

Deepdsl ⭐ 127

DeepDSL is a domain specific language (DSL) embedded in Scala for writing deep learning network applications.

Sylvester Flows ⭐ 126

Deeplearning ⭐ 120

Deep Learning From Scratch

Tensorflowframework ⭐ 119

An extendable framework for training neural network models using TensorFlow.

Tensorflow Phased Lstm ⭐ 118

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

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

Binarybrain ⭐ 118

Binary Neural Network Framework for FPGA(Differentiable LUT)

Ti Pooling ⭐ 117

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Deep Svdd ⭐ 116

Repository for the Deep One-Class Classification ICML 2018 paper

Slick Dnn ⭐ 116

Tiny and elegant deep learning library

Generate_to_adapt ⭐ 115

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Lsoftmax Pytorch ⭐ 110

The Pytorch Implementation of L-Softmax

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Visualml ⭐ 106

Interactive Visual Machine Learning Demos.

Repo 2016 ⭐ 105

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Deepscm ⭐ 103

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Infermo ⭐ 102

Tensors and dynamic Neural Networks in Mojo

Mechanical Fault Diagnosis Based On Deep Learning ⭐ 97

CNN for mechanical fault diagnosis

A repository for recording the machine learning code

Mnasnet Keras Tensorflow ⭐ 92

A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

Generative Models ⭐ 92

Comparison of Generative Models in Tensorflow

Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

Deep_learning_explorations ⭐ 89

Codes and experiments while learning and exploring deep learning by personal curiosity and online courses

Simple Cnaps ⭐ 89

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Neural Decision Forests ⭐ 87

An implementation of the Deep Neural Decision Forests in PyTorch

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Neural Networks ⭐ 82

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

Dl Uncertainty ⭐ 80

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

Deep Learning Tensorflow Book Code ⭐ 78

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

Jestimator ⭐ 77

Amos optimizer with JEstimator lib.

Residual_block_keras ⭐ 74

Residual network block in Keras

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