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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.

natural-language-processing deep-learning machine-translation recurrent-neural-networks gan style-transfer autoencoder convolutional-neural-networks tensorflow-examples

Updated Jun 14, 2021
Jupyter Notebook

podgorskiy / ALAE

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[CVPR2020] Adversarial Latent Autoencoders

python machine-learning computer-vision deep-learning neural-network paper pytorch generative-adversarial-network gan generative-model autoencoder celeba paper-implementations face-generation pytorch-implementation celeba-hq stylegan ffhq cvpr2020 alae

Updated Jan 23, 2021
Python

golbin / TensorFlow-Tutorials

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텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

tutorial deep-learning neural-network tensorflow word2vec chatbot cnn gan mnist dqn rnn autoencoder seq2seq inception

Updated Mar 23, 2019
Python

VivekPa / AIAlpha

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Use unsupervised and supervised learning to predict stocks

python machine-learning artificial-intelligence lstm yahoo-finance-api stock-price-prediction autoencoder artificial-neural-networks trading-strategies quantitative-finance algorithmic-trading wavelet-transform

Updated Jun 18, 2020
Python

PacktPublishing / Advanced-Deep-Learning-with-Keras

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Advanced Deep Learning with Keras, published by Packt

reinforcement-learning deep-learning keras gan autoencoder vae

Updated Jun 14, 2022
Python

NifTK / NiftyNet

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[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

python deep-neural-networks deep-learning neural-network tensorflow ml python3 distributed medical-imaging pip gan autoencoder segmentation convolutional-neural-networks python2 medical-image-computing medical-images medical-image-processing image-guided-therapy medical-image-analysis

Updated Apr 21, 2020
Python

RubensZimbres / Repo-2017

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Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

nlp opencv natural-language-processing deep-learning sentiment-analysis word2vec keras generative-adversarial-network autoencoder glove t-sne segnet keras-models keras-layer latent-dirichlet-allocation denoising-autoencoders svm-classifier resnet-50 anomaly-detection variational-autoencoder

Updated Dec 6, 2021
Python

wubinzzu / NeuRec

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Next RecSys Library

deep-learning social-network tensorflow collaborative-filtering neural-networks autoencoder convolutional-neural-networks sequential recommender-systems gcn adversarial-learning variational-autoencoder

Updated Jun 21, 2022
Python

GoogleCloudPlatform / keras-idiomatic-programmer

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Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

machine-learning deep-learning keras vgg dcgan autoencoder densenet resnet keras-tutorials squeezenet inception resnext automl mobilenet siamese-network shufflenet senet xception tensorflow-keras

Updated Dec 29, 2020
Jupyter Notebook

shubhomoydas / ad_examples

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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.

streaming timeseries time-series lstm generative-adversarial-network gan rnn autoencoder ensemble-learning trees active-learning concept-drift graph-convolutional-networks interpretability anomaly-detection adversarial-attacks explaination anogan unsuperivsed nettack

Updated May 26, 2022
Python

wagamamaz / tensorflow-tutorial

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TensorFlow and Deep Learning Tutorials

nlp machine-learning reinforcement-learning deep-learning neural-network notebook tensorflow keras deep-reinforcement-learning cnn recurrent-neural-networks neural-networks autoencoder tensorflow-tutorials convolutional-neural-networks neural-machine-translation tflearn tensorlayer multi-layer-perceptron deep-learning-tutorial

Updated Feb 26, 2018

clementchadebec / benchmark_VAE

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Unifying Generative Autoencoder implementations in Python

python benchmarking machine-learning research deep-learning reproducible-research pytorch comparison generative-model autoencoder vae reproducibility variational-autoencoder

Updated Jul 4, 2022
Python

alexandre01 / deepsvg

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[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

python svg machine-learning library deep-learning svg-animations pytorch transformer autoencoder sketches sketch-rnn deep-svg svg-vae

Updated Jun 22, 2022
Jupyter Notebook

jsn5 / dancenet

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DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

computer-vision keras lstm generative-model autoencoder mixture-density-networks

Updated Sep 15, 2019
Python

hwalsuklee / tensorflow-mnist-VAE

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Tensorflow implementation of variational auto-encoder for MNIST

tensorflow mnist autoencoder vae dae denoising-autoencoders variational-autoencoder

Updated Apr 11, 2017
Python

shayneobrien / generative-models

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Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN