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recurrent-neural-network

Here are 248 public repositories matching this topic...

amanchadha / coursera-deep-learning-specialization

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 Apr 13, 2024
Jupyter Notebook

mlech26l / ncps

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

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 May 6, 2024
C++

wavetorch

fancompute / wavetorch

🌊 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

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 Nov 11, 2024
Python

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

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 Oct 28, 2022
Python

BShakhovsky / PolyphonicPianoTranscription

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

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

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

Updated Mar 22, 2021
Jupyter Notebook

ChenHongruixuan / SiamCRNN

[IEEE TGRS 2020] Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

python deep-learning tensorflow cnn remote-sensing lstm convolutional-neural-network change-detection recurrent-neural-network lidar-data heterogeneous-image

Updated Jul 10, 2024
Python

jiegzhan / time-series-forecasting-rnn-tensorflow

Time series forecasting

time-series tensorflow keras lstm recurrent-neural-network

Updated Jan 2, 2019
Python

zhihanyang2022 / off-policy-continuous-control

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

reinforcement-learning pytorch continuous-control actor-critic rdpg recurrent-neural-network off-policy rtd3 rsac

Updated Nov 21, 2023
Python

nju-websoft / DSKG

knowledge-graph-completion recurrent-neural-network deep-sequential-model

Updated May 19, 2019
Jupyter Notebook

yxtay / char-rnn-text-generation

Character Embeddings Recurrent Neural Network Text Generation Models

deep-learning neural-network mxnet chainer tensorflow keras text-generation pytorch character-embeddings long-short-term-memory recurrent-neural-network

Updated May 17, 2019
Python

amanchadha / FRVSR-GAN

A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs

Updated Jun 21, 2022
Python

AFAgarap / wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

machine-learning tensorflow linear-regression scikit-learn machine-learning-algorithms supervised-learning classification logistic-regression support-vector-machine softmax-regression binary-classification nearest-neighbours-classifier multilayer-perceptron recurrent-neural-network

Updated Mar 24, 2023
Python

JasonFengGit / RNN-Language-Classifier

A Language Classifier powered by Recurrent Neural Network implemented in Python without AI libraries. AI from scratch.

numpy artificial-intelligence rnn language-classification recurrent-neural-network word-classifier

Updated Sep 7, 2021
Python

AakashKT / pytorch-recurrent-ae-siggraph17

Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactive-reconstruction-monte-carlo-image-sequences-using-recurrent-denoising

deep-neural-networks deep-learning autoencoder raytracing siggraph denoising recurrent-neural-network

Updated Mar 11, 2019
Python

kyegomez / LiqudNet

Implementation of Liquid Nets in Pytorch

machine-learning recurrent-neural-networks artificial-intelligence attention-mechanism attention-is-all-you-need recurrent-neural-network liquidnets

Updated Nov 11, 2024
Python

upb-lea / deep-pmsm

Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.

deep-neural-networks deep-learning temperature-monitoring convolutional-neural-networks pmsm electrical-engineering recurrent-neural-network electric-drive

Updated Jun 16, 2021
Python

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