Topic: gru Goto Github
Some thing interesting about gru
Some thing interesting about gru
gru,[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
User: 0zgur0
gru,[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
User: afagarap
Home Page: https://arxiv.org/pdf/1709.03082.pdf
gru,A Keras library for multi-step time-series forecasting.
User: albertogaspar
gru,CryptoCurrency prediction using machine learning and deep learning
User: alimohammadiamirhossein
gru,RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
User: alireza-akhavan
Home Page: http://class.vision
gru,Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
User: bentrevett
gru,Keras tutorial for beginners (using TF backend)
User: buomsoo-kim
gru,Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7
User: cadene
gru,OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目,支持中英双语、多种模型、多种任务。
User: catqaq
Home Page: https://zhuanlan.zhihu.com/p/617133715?
gru,stock prediction with GAN and WGAN
User: chickenbenny
gru,In PyTorch Learing Neural Networks Likes CNN、BiLSTM
User: dalinvip
gru,CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
User: dave-fernandes
gru,This repo contains all the notebooks mentioned in blog.
User: dudeperf3ct
Home Page: https://dudeperf3ct.github.io
gru,Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]
User: emirhanai
gru,Deep Recurrent Neural Nets in Java
User: evolvingstuff
gru,LSTM, RNN and GRU implementations using Pytorch
User: georgeyiasemis
gru,In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
User: hungchun-lin
gru,ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
User: jhhuang96
gru,:microscope: Nano size Theano LSTM module
User: jonathanraiman
gru,Word Embedding + LSTM + FC
User: keishinkickback
gru,Predict Cryptocurrency Price with Deep Learning
User: khuangaf
Home Page: https://blog.goodaudience.com/predicting-cryptocurrency-price-with-tensorflow-and-keras-e1674b0dc58a
gru,RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
User: lipiji
gru,Haste: a fast, simple, and open RNN library
Organization: lmnt-com
gru,This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
User: lucko515
gru,Neural Machine Translation with Keras
User: lvapeab
Home Page: http://nmt-keras.readthedocs.io
gru,Challenging Memory-based Deep Reinforcement Learning Agents
User: marcometer
gru,Baseline implementation of recurrent PPO using truncated BPTT
User: marcometer
gru,Real-time recurrent neural networks for audio plugins
User: michaelholmes4
gru,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
gru,Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
User: muhammedbuyukkinaci
gru,RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
User: overlordgolddragon
gru,Implementation of Hierarchical Attention Networks in PyTorch
User: pandeykartikey
Home Page: https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf
gru,Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
User: pyaf
gru,Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
User: rakeshvar
gru,Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
User: roomylee
gru,Relation Classification - SEMEVAL 2010 task 8 dataset
User: sahitya0000
gru,This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly
User: soham2707
gru,Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
User: sudharsan13296
Home Page: https://www.amazon.com/gp/product/B07LH43V8P/ref=dbs_a_def_rwt_hsch_vapi_tkin_p1_i3
gru,TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
User: sunsided
gru,A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
User: superbrucejia
Home Page: https://www.nitrc.org/projects/eeg_dl_library
gru,Application of machine learning to the Coinbase (GDAX) orderbook
User: timothyyu
gru,Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
User: uyaseen
gru,Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
User: xiaochus
gru,百度云魅族深度学习应用大赛
User: ypwhs
gru,CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.
User: zxth93
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