MeuralPaintTensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌
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Keras-Style-TransferAn implementation of "A Neural Algorithm of Artistic Style" in Keras
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FaststyleTensorflow implementation of fast neural style transfer.
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Neural ToolsTools made for usage alongside artistic style transfer projects
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Neural-TileA better tiling script for Neural-Style
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Adain StyleArbitrary Style Transfer in Real-time with Adaptive Instance Normalization
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Neural Style PtPyTorch implementation of neural style transfer algorithm
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Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
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Tensorflow Style TransferA simple, concise tensorflow implementation of style transfer (neural style)
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ZhihuThis 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.
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Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
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Texture netsCode for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
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Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
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Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
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Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
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DeepgazeComputer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
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Facedet实现常用基于深度学习的人脸检测算法
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DensepointDensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
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Wav2letter.pytorchA fully convolution-network for speech-to-text, built on pytorch.
Stars: ✭ 104 (-9.57%)
Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
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Neural Style DockerA dockerized version of neural style transfer algorithms
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Sketch To Art🖼 Create artwork from your casual sketch with GAN and style transfer
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YnetY-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
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Antialiased Cnnspip install antialiased-cnns to improve stability and accuracy
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LsuvinitReference caffe implementation of LSUV initialization
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ExermoteUsing Machine Learning to predict the type of exercise from movement data
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Cutmixa Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Stars: ✭ 99 (-13.91%)
AwslambdafacePerform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.
Stars: ✭ 98 (-14.78%)
Bayesian cnnBayes by Backprop implemented in a CNN in PyTorch
Stars: ✭ 98 (-14.78%)
Deep K Means Pytorch[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
Stars: ✭ 115 (+0%)
Sigver wiwdLearned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Stars: ✭ 112 (-2.61%)
Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Stars: ✭ 97 (-15.65%)
SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
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CnniqaCVPR2014-Convolutional neural networks for no-reference image quality assessment
Stars: ✭ 96 (-16.52%)
GrenadeDeep Learning in Haskell
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Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
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Linguistic Style TransferNeural network parametrized objective to disentangle and transfer style and content in text
Stars: ✭ 106 (-7.83%)
Pytorch Neural Style TransferReconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
Stars: ✭ 106 (-7.83%)