An implementation of DetNet with Keras.
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Updated
Nov 20, 2018 - Python
An implementation of DetNet with Keras.
This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
PyTorch implementation of Dilated Residual Networks for semantic image segmentation
An implementation of dilated convolutional layer based on Darknet Architecture
Chapter 6: Convolutional Neural Networks
A Numpy implementation of the dilated/atrous CNNs proposed by Yu et al. as well as transposed convolutions.
Sound event detection with depthwise separable and dilated convolutions.
comprehensive collection of powerful techniques for time series data visualization, analysis and modeling
Time Series Forecasting Best Practices & Examples
[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation
Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.
Succeeded by SyntaxDot: https://github.com/tensordot/syntaxdot
Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.
Classifying audio using Wavelet transform and deep learning
Dilated Convolutional Autoencoder for univariate Time Series
Neural Network for Low Complexity Acoustic Scene Classification
Dilation Rate Gridding Problem and How to Solve It With the Fibonacci Sequence.
GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks
Advance Convolutions, Attention and Image Augmentation: Depth wise, Pixel Shuffle, Dilated, Transpose, Channel Attention, and Albumentations Library
Implementation of DeSnowNet paper - https://arxiv.org/pdf/1708.04512.pdf
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