Alternatives and similar repositories for lstm-oreilly

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

• llSourcell / LSTM_Networks
  This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
  ☆197Updated last year
• neelabhpant / Deep-Learning-in-Python
  Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
  ☆389Updated 5 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 8 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 6 years ago
• jaungiers / Multidimensional-LSTM-BitCoin-Time-Series
  Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
  ☆343Updated 8 years ago
• PacktPublishing / Keras-Deep-Learning-Cookbook
  Keras Deep Learning Cookbook, published by Packt
  ☆40Updated last year
• etai83 / lstm_stock_prediction
  This is an LSTM stock prediction using Tensorflow with Keras on top.
  ☆230Updated 8 years ago
• llSourcell / How-to-Use-Tensorflow-for-Time-Series-Live-
  ☆117Updated 8 years ago
• PacktPublishing / Python-Deep-Learning-Cookbook
  Python Deep Learning Cookbook, published by Packt
  ☆142Updated 2 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…
  ☆112Updated 6 years ago
• mchablani / deep-learning
  Repo for the Deep Learning Nanodegree Foundations program.
  ☆166Updated 8 years ago
• analyticsvidhya / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆80Updated 7 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 9 years ago
• llSourcell / Time_Series_Prediction
  This is the code for "Time Series Prediction" By Siraj Raval on Youtube
  ☆192Updated 7 years ago
• llSourcell / How_to_do_Sentiment_Analysis
  This is the code for 'How to Do Sentiment Analysis' #3 - Intro to Deep Learning by Siraj Raval on Youtube
  ☆113Updated 6 years ago
• EmielStoelinga / CCMLWI
  Predicting the stock market with sentiment analysis and LSTM techniques
  ☆83Updated 5 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• kthouz / NYC_Green_Taxi
  Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
  ☆45Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 8 years ago
• elena-sharova / HiddenMarkovModel
  Example implementation of a discrete 1st order Hidden Markov model with test
  ☆35Updated 9 years ago
• mattmurray / topic_modelling_financial_news
  Topic modelling on financial news with Natural Language Processing
  ☆59Updated 8 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆267Updated 8 years ago
• ugik / notebooks
  collection of iPython notebooks
  ☆410Updated 2 years ago
• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 2 years ago
• lazyprogrammer / data-science-blogs
  A curated list of data science blogs
  ☆100Updated 7 years ago
• erilyth / DeepLearning-Challenges
  Codes for weekly challenges on Deep Learning by Siraj
  ☆266Updated 3 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 7 years ago
• teezeit / tuning_xgboost
  Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
  ☆92Updated 8 years ago
• tthustla / twitter_sentiment_analysis_part1
  data preparation
  ☆90Updated 7 years ago