Alternatives and similar repositories for PyData_Keras_Talk

Users that are interested in PyData_Keras_Talk are comparing it to the libraries listed below

• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• ageron / tiny-dqn
  A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym
  ☆94Updated 3 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 8 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 6 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 7 years ago
• guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆107Updated 7 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• bhimmetoglu / talks-and-lectures
  ☆56Updated 8 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 7 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆101Updated 9 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 years ago
• rdipietro / jupyter-notebooks
  ☆78Updated 7 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• Azure / fast_retraining
  Show how to perform fast retraining with LightGBM in different business cases
  ☆54Updated 6 years ago
• titu1994 / Nested-LSTM
  Keras implementation of Nested LSTMs
  ☆88Updated 6 years ago
• pydataberlin / conf2017slides
  ☆57Updated 8 years ago
• williamFalcon / keras-deep-learning-paper-implementations
  Keras implementation of Deep Learning papers
  ☆95Updated 7 years ago
• mineshmathew / char_rnn_karpathy_keras
  Language modellling using RNNs
  ☆54Updated 8 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago