Search Results - RepositoryStats

126

779

mit

19

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

papers rnn-lstm data-science data-analysis deep-learning neural-networks machine-learning recommender-system convolutional-networks exploratory-data-analysis recurrent-neural-networks generalized-additive-models

Created 2019-10-29

32 commits to master branch, last one 7 months ago

Coursera_Deep_Learning_Specialization Ankit-Kumar-Saini

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90

unknown

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Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including tran...

mlp coursera rnn-lstm andrew-ng transformers deep-learning neural-networks audio-processing face-recognition transfer-learning question-answering hyperparameter-tuning optimization-algorithms structuring-ml-projects named-entity-recognition voice-activity-detection cnn-for-visual-recognition image-segmentation-tensorflow

Created 2020-12-07

45 commits to main branch, last one 3 years ago

RNN-RC-Chaos pvlachas

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84

unknown

1

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

rc esn rnn chaos rnn-gru rnn-lstm lorenz-3d lorenz-96 forecasting rnn-tensorflow backpropagation reservoir-computer echo-state-networks reservoir-computing kuramoto-sivashinsky recurrent-neural-networks

Created 2020-02-22

26 commits to master branch, last one 3 years ago

Multivariate-time-series-forecasting-keras mounalab

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63

mit

1

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convoluti...

keras python rnn-lstm cnn-model transformers mlp-regressor keras-tensorflow time-series-forecasting

Created 2022-03-26

21 commits to main branch, last one 2 years ago