Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
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Ad examplesA 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.
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SeganA PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
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Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
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DcpdnDensely Connected Pyramid Dehazing Network (CVPR'2018)
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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MydeeplearningA deep learning library to provide algs in pure Numpy or Tensorflow.
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Pytorch SrganA modern PyTorch implementation of SRGAN
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Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
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GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
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Deblurgan TfUnofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
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CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
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ArteditingModeling Artistic Workflows for Image Generation and Editing (ECCV 2020)
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Single Human Parsing LipPSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.
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MlA high-level machine learning and deep learning library for the PHP language.
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Fashion MnistA MNIST-like fashion product database. Benchmark 👇
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Pytorch BookPyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
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Cycle Gan TfReimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.
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Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
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DltkDeep Learning Toolkit for Medical Image Analysis
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Gan VisVisualization of GAN training process
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ImagedeblurringA Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"
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Pytorch FidCompute FID scores with PyTorch.
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ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
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GenevaCode to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
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ColorizerAdd colors to black and white images with neural networks (GANs).
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BayesloopProbabilistic programming framework that facilitates objective model selection for time-varying parameter models.
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Cnn FixationsVisualising predictions of deep neural networks
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GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
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AshpyTensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
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Sequentialdata GanTensorflow Implementation of GAN modeling for sequential data
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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SentinlKibana Alert & Report App for Elasticsearch
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DeepzipNN based lossless compression
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SurpriverFind big moving stocks before they move using machine learning and anomaly detection
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Sentiment 2017 ImavisFrom Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
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Inr GanAdversarial Generation of Continuous Images [CVPR 2021]
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Ensemble Methods For Image ClassificationIn this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.
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