recurrent-neural-network

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amanchadha / coursera-deep-learning-specialization

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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network...

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization

Updated Jul 2, 2025
Jupyter Notebook

mlech26l / ncps

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PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

tensorflow keras cfc ncp recurrent-neural-network nature-machine-intelligence

Updated Aug 14, 2024
Python

pytorch-cpp

prabhuomkar / pytorch-cpp

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C++ Implementation of PyTorch Tutorials for Everyone

machine-learning tutorial cplusplus neural-network torch pytorch autograd artificial-intelligence generative-adversarial-network colab datasets tensors language-model convolutional-neural-network recurrent-neural-network libtorch interactive-tutorials scriptmodule-files

Updated Aug 25, 2025
C++

wavetorch

fancompute / wavetorch

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🌊 Numerically solving and backpropagating through the wave equation

time-series pytorch rnn differential-equations wave-equation recurrent-neural-network vowel-recognition

Updated Feb 8, 2020
Python

kyegomez / VisionMamba

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Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

machine-learning ai pytorch ssm mamba recurrent-neural-network

Updated Aug 31, 2025
Python

sushant097 / Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow

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Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

deep-neural-networks deep-learning tensorflow cnn python3 handwritten-text-recognition ctc-loss recurrent-neural-network blstm iam-dataset crnn-tensorflow

Updated Dec 9, 2024
Python

BShakhovsky / PolyphonicPianoTranscription

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Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

keras convolutional-neural-network cnn-keras keras-tensorflow recurrent-neural-network tensorflow-magenta cqt-spectrogram constant-q-transform piano-transcription mel-spectrogram audio-to-midi constant-q rnn-keras

Updated Oct 19, 2021
Jupyter Notebook

zhuofupan / Tensorflow-Deep-Neural-Networks

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用Tensorflow实现的深度神经网络。

tensorflow convolutional-neural-network tsne deep-belief-network long-short-term-memory recurrent-neural-network stacked-autoencoder stacked-sparse-autoencoder stacked-denoising-autoencoders

Updated Aug 15, 2022
Python

deep-explanation-penalization

laura-rieger / deep-explanation-penalization

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Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584