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13 search results found

Pytorch Tutorial ⭐ 7,372

Build your neural network easy and fast, 莫烦Python中文教学

Tensorflow Tutorial ⭐ 3,873

Tensorflow tutorial from basic to hard

Zhihu ⭐ 3,228

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Tensorflow Tutorials ⭐ 2,123

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Tensorflow Vae Gan Draw ⭐ 569

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Timeseries Clustering Vae ⭐ 366

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Easy Deep Learning With Keras ⭐ 336

Keras tutorial for beginners (using TF backend)

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Convlstm ⭐ 257

Spatio-temporal video autoencoder with convolutional LSTMs

Hands On Deep Learning Algorithms With Python ⭐ 241

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Rnn_recsys ⭐ 122

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Mad Twinnet ⭐ 101

The code for the MaD TwinNet. Demo page:

Hands On Ml ⭐ 69

Hands-On Machine Learning

Video_generator ⭐ 63

This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.

Basic_nns_in_frameworks ⭐ 50

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019

mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder

Tensorflow_ml_algorithms ⭐ 40

Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression

MiraPy: A Python package for Deep Learning in Astronomy

Machine Learning Course at IIT Bhilai

Deep Learning A Z Hands On Artificial Neural Network ⭐ 27

Codes and Templates from the SuperDataScience Course

Zeta Learn ⭐ 27

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Deep Learning Visuals ⭐ 24

A collection of 100 Deep Learning images and visualizations

Tensorflow_deep_learning_models ⭐ 23

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

Tensorflow Seq2seq ⭐ 21

Implement en-fr translation task by implenting seq2seq, encoder-decoder in RNN layers with Attention mechanism and Beamsearch inference decoder in TensorFlow 1.3

Awesome Deep Learning Chainer Examples List ⭐ 21

Chainer example codes list

Pokemon Generator ⭐ 19

Practice Tensorflow by using pokemon

AutoEncoder for Multivariate Time Series

Introduction To Deep Learning And Neural Networks Course ⭐ 16

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)

Hands-on in-person workshop for Deep Learning with TensorFlow

Deeplearning Playground ⭐ 14

Deep Learning courses, tutorials and examples with TensorFlow and PyTorch

Physicsawareae ⭐ 13

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Pytorch Sample Codes ⭐ 12

Генеративные текстовые модели

Android Malware Detection ⭐ 11

Android Malware Detection using Deep Learning

Libro Deep Learning ⭐ 11

Material adicional del libro "Deep Learning: Principios y fundamentos", publicado por la Editorial UOC

Neuralnetworkslite ⭐ 10

Learn Neural Networks using Java

Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'

Deeptarget Tensorflow ⭐ 9

Code for Paper DeepTarget, especially LSTM autoencoder

Introduction_to_deep_learning_coursera ⭐ 9

Intro to Deep Learning by National Research University Higher School of Economics

Track_sequence_anomaly_detection ⭐ 9

由时间空间成对组成的轨迹序列，通过循环神经网络lstm，自编码器auto-encode，时空密度聚类

Lanternfish ⭐ 9

Deep convolutional neural networks for biological motion analysis

Ml2018spring ⭐ 8

NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Deep Learning Nd ⭐ 7

Projects and exercises for the Deep Learning Nanodegree

Hsi Toolbox ⭐ 6

Hyperspectral CNN compression and band selection

Tensorflow2.0_notebooks ⭐ 6

Implementation of a series of Neural Network architectures in TensorFow 2.0

Dbn_prediction ⭐ 5

from https://github.com/fuzimaoxinan/Tensorflow-Deep-Ne

Deep Learning ⭐ 5

This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.

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