Alternatives and similar repositories for mxnet-ccn-samples:

Users that are interested in mxnet-ccn-samples are comparing it to the libraries listed below

• shiyangdaisy23 / vqa-mxnet-gluon
  ☆16Updated 7 years ago
• phunterlau / kaggle_statefarm
  A simple baseline model set using MXNet for Kaggle StateFarm driver position identification
  ☆27Updated 8 years ago
• BojanPLOJ / Bipropagation
  ☆42Updated 4 years ago
• charlsjoseph / PredictiveAnalatics-using-DL4j-and-ApacheSpark
  Predictive analatics using deepLearning4j and Spark
  ☆26Updated 8 years ago
• ilblackdragon / adversarial_workshop
  Adversarial Workshop code and presentation
  ☆38Updated 8 years ago
• dlsys-course / lab1
  ☆15Updated 7 years ago
• burness / ML_Spark
  the python code of the book:Machine Learning for Spark
  ☆8Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• rkirana / kdd2014
  kdd2014PrizeWinner
  ☆13Updated 10 years ago
• rakesh-chinta / Advanced-Factorization-of-Machine-Systems
  GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…
  ☆14Updated 8 years ago
• sookinoby / mxnet-ccn-samples
  Mxnet-cnn-samples
  ☆21Updated 7 years ago
• yuruofeifei / mms
  MXNet Model Serving
  ☆25Updated 7 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 8 years ago
• kastnerkyle / kaggle-dogs-vs-cats
  Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats
  ☆65Updated 4 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• harvitronix / super-simple-distributed-keras
  A super simple way to do distributed hyperparameter tuning with Keras and Mongo
  ☆30Updated 8 years ago
• qf6101 / multinomial-factorization-machines
  Multinomial Factorization Machines
  ☆21Updated 8 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆19Updated 7 years ago
• apaszke / kaggle-grasp-and-lift
  Code for Kaggle EEG Detection competition
  ☆70Updated 9 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 4 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 9 years ago
• cberzan / kaggle-caterpillar
  Kaggle competition: Caterpillar Tube Pricing
  ☆8Updated 9 years ago
• radekosmulski / dogs_vs_cats
  ☆74Updated 7 years ago
• tdhopper / smo-svm
  A derivation of the Sequential Minimal Optimization Algorithm for Support Vector Machines
  ☆11Updated last year
• ManuelGonzalezRivero / 3dbabove
  The collection of jupyter notebooks that were created to compose 3dbabove posts
  ☆44Updated 7 years ago
• zhoubin-me / mxdqn
  MXNet implementation of Deep Q-learning
  ☆34Updated 7 years ago
• dominiek / deep-base
  Deep learning base image for Docker (Tensorflow, Caffe, MXNet, Torch, Openface, etc.)
  ☆77Updated 6 years ago
• phdata / exploring-mllib-post
  Source code for exploring MLlib blog post
  ☆11Updated 10 years ago
• anmoljagetia / OReillyAI-Gamebots
  This is the Git repo from the O'Reilly AI Conference, NY for the session "Building Game bots using OpenAI's Gym and Universe".
  ☆15Updated 2 years ago