Alternatives and similar repositories for lstm-oreilly

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

• 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
  ☆112Updated 6 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
• neelabhpant / Deep-Learning-in-Python
  Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
  ☆388Updated 5 years ago
• llSourcell / How-to-Use-Tensorflow-for-Time-Series-Live-
  ☆119Updated 7 years ago
• llSourcell / Time_Series_Prediction
  This is the code for "Time Series Prediction" By Siraj Raval on Youtube
  ☆193Updated 6 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 5 years ago
• CNuge / kaggle-code
  A repository for some of the code I used in kaggle data science & machine learning tasks.
  ☆127Updated 3 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 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
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• danielmachinelearning / SentimentAnalysis_CNN_RNN
  An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…
  ☆23Updated 7 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
• 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
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• tthustla / twitter_sentiment_analysis_part1
  data preparation
  ☆90Updated 7 years ago
• kmsravindra / ML-AI-experiments
  All my experiments with AI and ML
  ☆119Updated 7 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆380Updated 7 years ago
• etai83 / lstm_stock_prediction
  This is an LSTM stock prediction using Tensorflow with Keras on top.
  ☆231Updated 8 years ago
• teezeit / tuning_xgboost
  Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
  ☆92Updated 8 years ago
• jayinai / teach-machine-to-trade
  ☆119Updated 6 years ago
• jaungiers / Multidimensional-LSTM-BitCoin-Time-Series
  Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
  ☆342Updated 8 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• PacktPublishing / Python-Deep-Learning-Cookbook
  Python Deep Learning Cookbook, published by Packt
  ☆141Updated 2 years ago
• erilyth / DeepLearning-Challenges
  Codes for weekly challenges on Deep Learning by Siraj
  ☆265Updated 2 years ago
• ugik / notebooks
  collection of iPython notebooks
  ☆408Updated 2 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆268Updated 8 years ago
• llSourcell / How-to-Deploy-a-Tensorflow-Model-in-Production
  This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube
  ☆277Updated 5 years ago
• PacktPublishing / Practical-Reinforcement-Learning
  Practical​ Reinforcement Learning, published by Packt
  ☆25Updated 2 years ago
• analyticsvidhya / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆80Updated 7 years ago
• llSourcell / Kaggle_Challenge_LIVE
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆61Updated 6 years ago