Alternatives and similar repositories for lstm-numpy

Users that are interested in lstm-numpy are comparing it to the libraries listed below

• kaustubhhiware / LSTM-GRU-from-scratch
  LSTM, GRU cell implementation from scratch in tensorflow
  ☆40Updated 7 years ago
• subho406 / Sequence-to-Sequence-and-Attention-from-scratch-using-Tensorflow
  Sequence to Sequence and attention from scratch using Tensorflow
  ☆29Updated 7 years ago
• shashank-bhatt-07 / Keras-LSTM-Sentiment-Classification
  Using Deep Learning Neural Networks to classify reviews of movie dataset to Positive and Negative Sentiment
  ☆16Updated 7 years ago
• huseinzol05 / Machine-Learning-Numpy
  Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much m…
  ☆108Updated 6 years ago
• revsic / numpy-rnn
  numpy implementation of Recurrent Neural Network
  ☆41Updated 6 years ago
• PacktPublishing / Reinforcement-Learning-with-TensorFlow
  Reinforcement Learning with TensorFlow, published by Packt
  ☆41Updated 2 years ago
• Currie32 / Predicting-the-Dow-Jones-with-Headlines
  Used Keras to build a model (CNNs + LSTMs) to predict the opening price change of the Dow Jones.
  ☆39Updated 6 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆36Updated 8 years ago
• yashbonde / Reinforcement-Learning-Stocks
  Applying Reinforcement learning models for stock price predictions
  ☆25Updated 6 years ago
• pikinder / DQN
  Deep Q-Networks in tensorflow
  ☆10Updated 8 years ago
• llSourcell / LSTM_Networks
  This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
  ☆196Updated last year
• philipperemy / tensorflow-grid-lstm
  Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)
  ☆28Updated 8 years ago
• campdav / Text-Generation-using-Bidirectional-LSTM-and-Doc2Vec-models
  Text Generation using Bidirectional LSTM and Doc2Vec models
  ☆62Updated 5 years ago
• yifan-guo-cwru / Time-Series-Prediction-with-LSTM-Recurrent-Neural-Networks-in-Python-with-Keras
  RNN LSTM Time Series
  ☆44Updated 8 years ago
• wdy06 / stock_dqn
  trading by Deep Q-Network
  ☆15Updated 8 years ago
• titu1994 / Nested-LSTM
  Keras implementation of Nested LSTMs
  ☆88Updated 6 years ago
• PhilippeMorere / BasicReinforcementLearning
  Simple Reinforcement learning example, based on the Q-function.
  ☆17Updated 7 years ago
• llSourcell / Kaggle_Challenge_LIVE-Two-Sigma
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 6 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• prashantg445 / Image-Captioning
  Used LSTM on Flickr dataset
  ☆12Updated 7 years ago
• changhuixu / LSTM-sentiment-analysis
  LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem
  ☆21Updated 6 years ago
• mohabmes / StockNN
  Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend
  ☆48Updated 7 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• rishikksh20 / LSTM-Time-Series-Analysis
  Using LSTM network for time series forecasting
  ☆44Updated 8 years ago
• melissa135 / mlp_stock
  Stock price prediction using ensemble MLP in PyTorch.
  ☆35Updated 8 years ago
• HenrySun95 / PHBS_TQFML-StockIndex-Wavelet-Transformation-ARIMA-ML-Model
  PHBS 2018 Machine Learning Class Project
  ☆14Updated 7 years ago
• yanpanlau / CartPole
  Various DQN method with cartpole
  ☆11Updated 7 years ago
• huseinzol05 / Deep-Learning-Tensorflow
  Gathers Tensorflow deep learning models.
  ☆52Updated 6 years ago
• llSourcell / random_forests
  This is the code for "Random Forests - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
  ☆87Updated 8 years ago
• sinusgamma / multimodal_network
  Mixture Density Network with Tensorflow Probability. Demonstrate the usefulness of multi-modal distribution outputs for neural networks.
  ☆19Updated 5 years ago