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Search results for jupyter notebook recurrent neural networks
jupyter-notebook
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recurrent-neural-networks
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116 search results found
Textmining Tutorial
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115
(한국어) 텍스트 마이닝을 위한 공부거리들
Relataly Public Python Tutorials
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109
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
Pytorch Pos Tagging
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109
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Deep Learning Coursera Complete
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108
Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses
Tf Mrnn
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108
Re-implementation of the m-RNN model using TensorFLow
Linear Attention Recurrent Neural Network
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107
A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
Stock Price Predictor
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107
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Pytorch_ehr
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105
source codes based on PyTorch to analyze EHR
Pytorch
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104
PyTorch tutorials A to Z
Cs224d
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103
CS224D Assignments
Ml4music Workshop
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103
Machine Learning for Music and Sound Synthesis workshop
Deep Learning Coursera
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102
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Python Machine Learning Book 3rd Edition
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93
<머신 러닝 교과서 3판>의 코드 저장소
Machine Learning
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92
My Attempt(s) In The World Of ML/DL....
Lstm_chem
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91
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Deep Learning
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90
Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
Music Generation
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85
An RNN implementation to generate music
Pytorch Rnn Sequence Generation Classification
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84
Lyrics and piano music generation in Pytorch
Nlp Interview Notes
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84
📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料
100 Days Of Nlp
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83
Recurrent Ppo Truncated Bptt
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82
Baseline implementation of recurrent PPO using truncated BPTT
Tensorflow Practice
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80
Tutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.
Nd101
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79
记录自己深度学习之路的点滴
Machinelearningwithpython
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79
Get started with Machine Learning with Python - An introduction with Python programming examples
Lis Ynp
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79
🔮 Life is short, you need PyTorch.
Language Translation
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79
Neural machine translator for English2German translation.
Speech Emotion Recognition
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78
Detecting emotions using MFCC features of human speech using Deep Learning
Deepseqslam
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76
The Official Deep Learning Framework for Robot Place Learning
Tf Eager Examples
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75
A set of simple examples ported from PyTorch for Tensorflow Eager Execution
Toxic Comment Classification
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72
Code and write-up for the Kaggle Toxic Comment Classification Challenge
Pytorch Learners Tutorial
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71
PyTorch tutorial for learners
Pytorch Seq2seq Example
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69
Fully batched seq2seq example based on practical-pytorch, and more extra features.
Hands On Ml
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69
Hands-On Machine Learning
Video_generator
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63
This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
Ml2017fall
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63
Machine Learning (EE 5184) in NTU
Sky Cast Capstone
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62
Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
Shakkelha
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59
Neural Arabic text diacritization
Conversational Ai Workshop 18
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59
Example showing generalisation
Bitcoinprediction
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57
CryptoCurrency prediction using Deep Recurrent Neural Networks
Comparemodels_trecqa
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55
Compare six baseline deep learning models on TrecQA
How To Train Your Neural Net
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55
Deep learning research implemented on notebooks using PyTorch.
Char_rnn_karpathy_keras
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55
Language modellling using RNNs
Textclassification
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55
Text classification models
Deep Theano Rnn Lstm Car
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54
Pack of Drones: Layered reinforcement learning (Q-learning w/ RNN) for complex "hunt" behaviors
Avito Demand
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54
Avito Demand Prediction Challenge 🏬
Gdax Orderbook Ml
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53
Application of machine learning to the Coinbase (GDAX) orderbook
Tf Speech Recognition Challenge Solution
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53
Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recogn The solution ranked in top 5% in private leaderboard.
Note_music_generator
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48
Natural Language Processing
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48
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
Aind2 Rnn
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48
Project materials for RNN segment of AIND nanodegree
Course_material
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47
上課教材的大集合!!!
Deep Learning Tensorflow
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47
Gathers Tensorflow deep learning models.
Mmfall
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46
mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder
Colbert Using Bert Sentence Embedding For Humor Detection
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44
Novel model and dataset for the task of humor detection
Dl_cv_tensorflow_10weeks
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44
딥러닝-영상인식 CAMP 10주 과정을 위한 TensorFlow 코드들
Lstm Footballmatchwinner
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43
This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote
Recurrent Neural Networks Intro
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42
Implementation of RNN in Python
Computer Vision Nd
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42
Projects and exercises for the Udacity Computer Vision Nanodegree
Tensor_train_rnn
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42
Clean repo for tensor-train RNN implemented in TensorFlow
Stock_price_prediction_with_rnns
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42
Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.
Cs231n_assignments
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41
[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)
Ml Tutorial Notebooks
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41
This depot contain tutorials for real beginners who want to understand machine learning by reading some code.
Mimic Lstm
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41
This is a complete preprocessing, model training, and figure generation repo for "An attention based deep learning model of clinical events in the intensive care unit"
Text Normalization Demo
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40
Demonstration of the results in "Text Normalization using Memory Augmented Neural Networks", Authors: Subhojeet Pramanik, Aman Hussain
Deep Learning With Python 2nd
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39
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
Tweetynet
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39
Hybrid convolutional-recurrent neural networks for segmentation of birdsong and classification of elements
Fieldrnn
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39
Temporal Vegetation Classification with Recurrent Neural Networks
Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification
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38
NLP tutorial
Stock Prediction
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37
LSTM RNN for sentiment-based stock prediction
Cs231n
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36
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Introdatascience
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35
Book: Pratitioner's Guide to Data Science (https://scientistcafe.com/ids/)
Keras Rnn Notebooks
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35
Python notebooks that demonstrate simple RNN models for NLP tasks using Keras
Pytorch Charrnn
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35
Character RNN implemented in PyTorch
Urban Sound Classification
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35
Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers
Nlp Stock Prediction
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34
Neural Networks
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34
All about Neural Networks!
Udacity Cvnd Projects
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34
My solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Rat Rnn
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34
Simulate Rat neural activity in the maze
Lfads Torch
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34
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Rnn Notebooks
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33
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stanford Cs231n Assignments 2020
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32
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Market Trend Prediction
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32
This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).
Ensemble Conformalized Quantile Regression
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31
Valid and adaptive prediction intervals for probabilistic time series forecasting
Imagecaption
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31
Image Caption using keras, VGG16 pretrained model, CNN and RNN
Rnn Walkthrough
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31
Pydata Carolinas 2016
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31
📊 My tutorial for PyData Carolinas 2016
Deep Learning Tensorflow2
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31
基于Tensorflow2的深度学习开源书籍
Rnn Stocks Prediction
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30
Another attempt to use Deep-Learning in the financial markets
Babble Rnn
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30
babble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any intermediate text or word representations. The idea is to learn to speak through imitation, much like a baby might.
Deep Nlp
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30
[In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch
Grid Pattern Formation
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30
repository for grid cell network code
Crypto Predict
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29
A dockerized prediction API for crypto.
Motor Imagery Tasks Classification Using Eeg Data
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29
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
Tesla Stocks Prediction
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29
The implementation of LSTM in TensorFlow used for the stock prediction.
Numpy Rnn
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29
numpy implementation of Recurrent Neural Network
Understandingnlp
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29
Natural Language Processing Analysis
Dku Kaggle Class
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28
단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료
Cs550
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28
Machine Learning Course at IIT Bhilai
Music.generation.with.deeplearning
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27
Generating Music and Lyrics using Deep Learning via Long Short-Term Recurrent Networks (LSTMs). Implements a Char-RNN in Python using TensorFlow.
Meetup Content
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27
Entirety.ai Intuition to Implementation Meetup Content.
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