deepwaves
Wave classifier
Develops deep neural networks to classify active wave breaking events
Code and data for Deep Neural Networks for Active Wave Breaking Classification
17 stars
4 watching
7 forks
Language: Python
last commit: almost 4 years ago
Linked from 1 awesome list
chrisleaman/awesome-coastalRelated projects:
| Repository | Description | Stars |
|---|---|---|
 opticalwavegauging/ir_waveclass | A software project to train deep neural networks to classify wave breaking using infrared imagery | 0 |
 drscotthawley/audio-classifier-keras-cnn | An audio classification system using a convolutional neural network to classify audio data | 160 |
 cauchyturing/ucr_time_series_classification_deep_learning_baseline | Developing and evaluating deep learning models for time series classification with a focus on interpretability and deployability. | 677 |
 matlab-deep-learning/abnormal-eeg-signal-classification-using-cnns | Develops and trains a deep neural network to classify EEG signals as normal or abnormal | 48 |
 soerenab/audiomnist | This project provides an implementation of a deep learning framework to classify audio signals and offers insights into the model's decision-making process using Explainable Artificial Intelligence (AI) techniques. | 347 |
 fancompute/wavetorch | A Python package for solving the wave equation using recurrent neural networks and automatic differentiation. | 518 |
 keunwoochoi/auralisation | Reconstructs audio features learned by convolutional neural networks into audible sounds | 42 |
 chxj1992/captcha_cracker | An image recognition system using a deep learning model to classify characters from verification codes | 188 |
 csyhuang/hn2016_falwa | Computes diagnostic metrics from climate data to analyze wave activity in the atmosphere. | 34 |
 seannaren/deepspeech.pytorch | A deep learning-based speech recognition system built on top of PyTorch Lightning. | 2,104 |
 xiayandi/pytorch_text_classification | An implementation of convolutional neural networks for text classification using PyTorch | 66 |
 despoisj/deepaudioclassification | Automatically categorizes music genres using deep learning algorithms | 1,097 |
 weecology/deepforest | A Python package for training and predicting ecological objects in airborne imagery using deep learning object detection networks. | 519 |
 kristijanbartol/deep-music-tagger | Classifies music genres using a deep neural network model trained on a large audio dataset | 67 |
 birdnet-team/birdnet | A Python library for identifying bird species by their sounds using deep learning and acoustic monitoring. | 11 |