Jake Graving (jgraving)

jgraving

Geek Repo

Company:Max Planck Institute of Animal Behavior

Location:Konstanz, Germany

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Jake Graving's repositories

circles-sines-signals

A Compact Primer on Digital Signal Processing

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DEC-Keras-1

Deep Embedding Clustering in Keras

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deep-learning-models

Keras code and weights files for popular deep learning models.

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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deform-conv

Deformable Convolution in TensorFlow / Keras

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DenseNet

DenseNet implementation in Keras

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dit

Python package for information theory.

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dtw

DTW (Dynamic Time Warping) python module

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fastdtw

A Python implementation of FastDTW

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Fully-Connected-DenseNets-Semantic-Segmentation

Fully Connected DenseNet for Image Segmentation (https://arxiv.org/pdf/1611.09326v1.pdf)

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gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

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K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

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keras-contrib

Keras community contributions

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keras-extras

Extra batteries for Keras

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Keras-FCN

My implementation of Fully Convolutional Neural Networks in Keras

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keras-grad-cam

An implementation of Grad-CAM with keras

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keras-inceptionV4

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

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keras-object-recognition

Minimalist Keras implementation for performing object recognition with deep learning

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keras-spp

Spatial pyramid pooling layers for keras

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keras-squeezenet

SqueezeNet implementation with Keras Framework

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keras-vis

Neural network visualization toolkit for keras

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mask_rcnn_pytorch

Mask RCNN in PyTorch

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neuralnets

Deep Learning libraries tested on images and time series

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practical-pytorch

PyTorch tutorials using neural networks (especially RNNs) for natural language processing

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scikit-learn

scikit-learn: machine learning in Python

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segmentation_keras

DilatedNet in Keras for image segmentation

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squeezenet-keras

SqueezeNet Keras demo

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vehicle-detection

Detect vehicles in a video

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