Topic: rnn-model Goto Github
Some thing interesting about rnn-model
Some thing interesting about rnn-model
rnn-model,An AI chatbot built using SEQ2SEQ Model
User: adi2381
rnn-model,A repository for my pytorch models
User: albertocenzato
rnn-model,A novel RNN cell named VRNN, which consumes less parameters and training time but gain comparable performance as LSTM/GRU
User: alphadl
rnn-model,Song lyrics generation using Recurrent Neural Networks (RNNs)
User: anshul1004
rnn-model,Predictive Modelling of Time Series Data using LSTM RNNs
User: archana1998
rnn-model,Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction
User: avinashnath2
rnn-model,个人实现pytorch高级编程,包括基本知识、卷积神经网络、循环神经网络、生成对抗、模型部署和分布式训练(2022)
User: binfupku
rnn-model,Char-RNN generated Dr. Seuss
User: briancheang
rnn-model,Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
User: central-cee
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
rnn-model,Analyze and classify videos in the UCF101 dataset
User: dikshant2210
rnn-model,Generalized Implementation of RNNs for Chaotic Time Series Prediction
User: eakgun
rnn-model,Event-based neural networks
Organization: efficient-scalable-machine-learning
Home Page: https://arxiv.org/abs/2206.06178
rnn-model,Solar Irradiance Forecasting Using Deep Learning Techniques
User: hammaad2002
rnn-model,Deep Learning, Attention, Transformers, BERT, GPT-2, GTP-3
User: iamkankan
rnn-model,application to predict series data by RNNs model
Organization: iteam1
rnn-model,Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
User: jusperlee
rnn-model,Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.
User: kanch91
rnn-model,Future forecast using LSTM RNN for Time Series Data
User: kingardor
rnn-model,Cross-Topic Quotes Generation using Word Embeddings
User: krohak
rnn-model,基于tensorflow搭建的神经网络recursive autuencode,用于实现句子聚类
User: little-girl-1992
rnn-model,Many to one RNN model in Keras :+1: or :-1:
User: manglasourav
rnn-model,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
rnn-model,An attention mechanism implementation based on keras with theano as backend.
User: mu94w
rnn-model,Annabelle the noob. An experimental, incomplete(at present) chatbot.
User: nidhisalian
rnn-model, Depression detection from social media
User: noureldinalaa
rnn-model,generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
User: ntrang086
rnn-model,Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
User: nursnaaz
rnn-model,Text classification using deep learning models in Pytorch
User: prakashpandey9
rnn-model,RNN based on LSTM
User: prodo56
rnn-model,A R/Shiny app for interactive RNN tensorflow models
User: rajshah4
rnn-model,Artificial İntelligence Python Codes
User: regaipkurt
rnn-model,Sinhalese Language based Hate Speech Detection
User: renuka-fernando
rnn-model,Time series forecasting using RNN, Twitter Sentiment Analysis and Turtle Trading Strategy applied on Cryptocurrency
User: sanjoshaju
rnn-model, Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
User: shaik-sohail-72
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
rnn-model,A food ordering android application with feedback analyzer to improve food suggestions to customer.
User: shashanksinha98
rnn-model,Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.
User: shubhammola
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
rnn-model,Built RNNs that can generate sequences based on input data - with a focus on two applications: used real market data in order to predict future Apple stock prices using an RNN model. The second one will be trained on Sir Arthur Conan Doyle's classic novel Sherlock Holmes and generates wacky sentences based on it that may - or may not - become the next great Sherlock Holmes novel.
User: simoninithomas
rnn-model,make stock prediction model using Tensorflow, Python and web crawling
User: songchiyoon
rnn-model,Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020
User: subangkar
rnn-model,Implementation of Neural Image Caption Generation using Flicker dataset.It generates a descriptive sentence of the uploaded image
User: sudharshanshanmugasundaram
rnn-model,A RNN based voice application which can do tasks when it recognizes the user speaking the Trigger word. Here the trigger word is "activate".
User: susantabiswas
Home Page: https://susantabiswas.github.io/TriggerWordAssistant/
rnn-model,Recurrent Neural Network to predict the next app to be used, using Python and Keras.
User: suvabbaral
rnn-model,Piano music generation with RNN with Tensorflow
User: tarcisio-marinho
rnn-model,Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
User: tatevkaren
rnn-model,I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
User: thibo73800
Home Page: https://becominghuman.ai/how-to-train-a-neural-network-to-code-by-itself-a432e8a120df
rnn-model,A QA System based by BiLSTM. 一个基于双向LSTM的智能问答系统,有交互界面、详细注释、多版本、能运行、文件齐全。
User: xinzcode
rnn-model,Neural Networks for Neuroscience Tasks
User: zhaozewang
rnn-model,RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
User: zhongkaifu
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