Topic: recurrent-neural-networks Goto Github
Some thing interesting about recurrent-neural-networks
Some thing interesting about recurrent-neural-networks
recurrent-neural-networks,VIP cheatsheets for Stanford's CS 230 Deep Learning
User: afshinea
Home Page: https://stanford.edu/~shervine/teaching/cs-230/
recurrent-neural-networks,List of papers, code and experiments using deep learning for time series forecasting
User: alro10
recurrent-neural-networks,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 Networks; (v) Sequence Models
User: amanchadha
recurrent-neural-networks,Implementation of State-of-the-art Text Classification Models in Pytorch
User: anubhavgupta3377
recurrent-neural-networks,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Organization: asappresearch
recurrent-neural-networks,Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
User: bentrevett
recurrent-neural-networks,๐ค GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Organization: brainjs
Home Page: https://brain.js.org
recurrent-neural-networks,Char-RNN implemented using TensorFlow.
User: crazydonkey200
recurrent-neural-networks,Visualizing RNNs using the attention mechanism
Organization: datalogue
Home Page: https://medium.com/datalogue/attention-in-keras-1892773a4f22
recurrent-neural-networks,ๆทฑๅบฆๅญฆไน ไธPyTorchๅ ฅ้จๅฎๆ่ง้ขๆ็จ ้ ๅฅๆบไปฃ็ ๅPPT
User: dragen1860
Home Page: https://study.163.com/course/introduction/1208894818.htm
recurrent-neural-networks,Simple and comprehensive tutorials in TensorFlow
Organization: easy-tensorflow
Home Page: http://www.easy-tensorflow.com
recurrent-neural-networks,Reinforcement Learning for Portfolio Management
User: filangelos
recurrent-neural-networks,Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
User: githubharald
Home Page: https://towardsdatascience.com/3797e43a86c
recurrent-neural-networks,Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
User: githubharald
Home Page: https://towardsdatascience.com/b051d28f3d2e
recurrent-neural-networks,Handwritten Text Recognition (HTR) system implemented with TensorFlow.
User: githubharald
Home Page: https://towardsdatascience.com/2326a3487cd5
recurrent-neural-networks,Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
User: guillaume-chevalier
recurrent-neural-networks,A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
User: hadoopit
recurrent-neural-networks,Visualization Toolbox for Long Short Term Memory networks (LSTMs)
User: hendrikstrobelt
recurrent-neural-networks,Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
User: hurshd0
recurrent-neural-networks,A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
User: ikostrikov
recurrent-neural-networks,Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
User: jordicorbilla
Home Page: https://jordicorbilla.github.io/stock-prediction-deep-neural-learning/
recurrent-neural-networks,Machine Learning on Sequential Data Using a Recurrent Weighted Average
User: jostmey
Home Page: https://arxiv.org/abs/1703.01253
recurrent-neural-networks,RMDL: Random Multimodel Deep Learning for Classification
User: kk7nc
Home Page: https://rmdl.readthedocs.io/
recurrent-neural-networks,Text Classification Algorithms: A Survey
User: kk7nc
recurrent-neural-networks, Top 200 deep learning Github repositories sorted by the number of stars.
User: mbadry1
recurrent-neural-networks,Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
User: mbadry1
recurrent-neural-networks,Named Entity Recognition using multilayered bidirectional LSTM
User: monikkinom
recurrent-neural-networks,pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
User: mravanelli
recurrent-neural-networks,This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
User: nelsonzhao
Home Page: https://zhuanlan.zhihu.com/zhaoyeyu
recurrent-neural-networks,NMA deep learning course
Organization: neuromatchacademy
Home Page: https://deeplearning.neuromatch.io/
recurrent-neural-networks,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
User: nourozr
recurrent-neural-networks,A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
User: nschaetti
Home Page: https://nschaetti.github.io/echotorch.github.io/
recurrent-neural-networks,:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
User: offchan42
recurrent-neural-networks,A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
User: ottokart
Home Page: http://bark.phon.ioc.ee/punctuator
recurrent-neural-networks,A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
User: pbashivan
recurrent-neural-networks,Keras Temporal Convolutional Network.
User: philipperemy
recurrent-neural-networks,Closed-form Continuous-time Neural Networks
User: raminmh
recurrent-neural-networks,Code Repository for Liquid Time-Constant Networks (LTCs)
User: raminmh
Home Page: https://arxiv.org/abs/2006.04439
recurrent-neural-networks,A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Organization: reservoirpy
recurrent-neural-networks,Text classifier for Hierarchical Attention Networks for Document Classification
User: richliao
recurrent-neural-networks,Deep Reinforcement Learning based Trading Agent for Bitcoin
User: samre12
recurrent-neural-networks,TensorFlow Tutorials
User: sjchoi86
recurrent-neural-networks,Handwriting Synthesis with RNNs โ๏ธ
User: sjvasquez
recurrent-neural-networks,RNN-based generative models for speech.
User: sotelo
recurrent-neural-networks,Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
Organization: thuml
recurrent-neural-networks,Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
User: tixierae
Home Page: http://arxiv.org/abs/1808.09772
recurrent-neural-networks,This is an open sourced book on deep learning.
User: vaibhawvipul
recurrent-neural-networks,TensorFlow and Deep Learning Tutorials
User: wagamamaz
recurrent-neural-networks,Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
User: x4nth055
recurrent-neural-networks,๐ ๐๐๐๐๐๐๐๐๐๐ PyTorch Implementation of DA-RNN (arXiv:1704.02971)
User: zhenye-na
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