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The Top 23 Jupyter Notebook Lstm Open Source Projects

Open source projects categorized as Jupyter Notebook Lstm
Categories > Data Processing > Jupyter Notebook
Gym Continuousdoubleauction ⭐ 87
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
most recent commit 2 years ago
Reinforcementlearning Atarigame ⭐ 87
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
most recent commit 5 years ago
Music Generation ⭐ 85
An RNN implementation to generate music
most recent commit 6 years ago
Nlp Interview Notes ⭐ 84
📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料
most recent commit 3 years ago
Gait Recognition Using Smartphones ⭐ 82
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
most recent commit 6 months ago
Recurrent Ppo Truncated Bptt ⭐ 82
Baseline implementation of recurrent PPO using truncated BPTT
most recent commit 7 months ago
Neural Disaggregator ⭐ 82
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
most recent commit 3 years ago
Language Translation ⭐ 79
Neural machine translator for English2German translation.
most recent commit 7 years ago
Deepseqslam ⭐ 76
The Official Deep Learning Framework for Robot Place Learning
most recent commit 2 years ago
Tensorflow Compress ⭐ 73
Data compression using LSTM in TensorFlow
most recent commit a year ago
Handwritten Tf 1.0 ⭐ 72
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
most recent commit 6 years ago
Lstm Gru Pytorch ⭐ 72
LSTM and GRU in PyTorch
most recent commit 5 years ago
Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And Gan ⭐ 71
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
most recent commit 4 years ago
Pytorch Learners Tutorial ⭐ 71
PyTorch tutorial for learners
most recent commit 4 years ago
Basic Machine Learning ⭐ 71
This is a repo of basic Machine Learning what I learn. More to go...
most recent commit a year ago
Twitter Sentiment Analysis Classical Approach Vs Deep Learning ⭐ 70
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.
most recent commit 3 years ago
Cs224n_project ⭐ 65
Neural Image Captioning in TensorFlow.
most recent commit 5 years ago
Kesci Urdu Sentiment Analysis ⭐ 62
sentiment-analysis
most recent commit 5 years ago
Wsae Lstm ⭐ 61
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
most recent commit 2 years ago
Yelp_comments_classification_nlp ⭐ 61
Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.
most recent commit 5 years ago
End To End Sequence Labeling Via Bi Directional Lstm Cnns Crf Tutorial ⭐ 59
Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
most recent commit 4 years ago
Rul_prediction ⭐ 59
remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit
most recent commit 9 months ago
Tensorflow Notebooks Examples ⭐ 59
Tensorflow Notebook Examples and Tutorials
most recent commit 5 years ago
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