Alternatives and similar repositories for flask-app-for-mxnet-img-classifier:

Users that are interested in flask-app-for-mxnet-img-classifier are comparing it to the libraries listed below

• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• solarlee / Awesome-Python-Toolbox
  ☆56Updated 9 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
• wondervictor / Traffic_Prediction
  Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)
  ☆17Updated 7 years ago
• timefly666 / Vision-Tutorial
  ☆18Updated 7 years ago
• burness / mxnet-101
  The code to learn mxnet
  ☆60Updated 8 years ago
• tobegit3hub / deep_image_model
  Deep convolution/recurrent neural network project with TensorFlow
  ☆100Updated last year
• yuruofeifei / mms
  MXNet Model Serving
  ☆25Updated 7 years ago
• NighTurs / kaggle-cdiscount-image-classification
  ☆13Updated 5 years ago
• sookinoby / mxnet-ccn-samples
  Mxnet-cnn-samples
  ☆21Updated 7 years ago
• transcranial / inception-resnet-v2
  Implementation of Google's Inception + ResNet v2 architecture in Keras
  ☆32Updated 8 years ago
• radekosmulski / dogs_vs_cats
  ☆74Updated 7 years ago
• e-lab / crawl-dataset
  ☆33Updated 8 years ago
• wangx404 / GAN_gluon_tutorials
  This tutorial of GAN is Chinese translation of its English version which is created by MXNet group.
  ☆50Updated 7 years ago
• llSourcell / Which-Activation-Function-Should-I-Use
  This is the code for the "Which Activation Function Should I Use?" video By Siraj Raval on Youtube
  ☆27Updated 7 years ago
• d2l-ai / notebooks
  ☆69Updated 5 years ago
• PacktPublishing / TensorFlow-1x-Deep-Learning-Cookbook
  TensorFlow 1.x Deep Learning Cookbook, published by Packt
  ☆86Updated 2 years ago
• daniellaah / deeplearning.ai-step-by-step-guide
  My learning notes on Coursera deep learning Specialization.
  ☆16Updated 7 years ago
• llSourcell / How_to_Make_Data_Amazing
  This is the code for the "How to Make Data Amazing - Intro to Deep Learning #5" by Siraj Raval on Youtube
  ☆31Updated 8 years ago
• hiveml / simple-ml-serving
  Simple step-by-step guide to deploying deep learning models to production.
  ☆173Updated 7 years ago
• HevLfreis / songci-rnn
  Generating Songci (Poetry of the Song Dynasty) by machine. Based on QuanSongci and RNN.
  ☆36Updated 8 years ago
• ndruger / flowerizer
  DeepLearningを利用して簡単に花の絵を描くツール
  ☆18Updated 6 years ago
• ypwhs / traffic-signs
  Classify Traffic Signs.
  ☆29Updated 8 years ago
• llSourcell / hardware_demo
  This is the code for 'How To Make Smart Blinds Using Facial Detection' by Siraj Raval on Youtube
  ☆22Updated 8 years ago
• Alfredvc / cnn_workshop
  CNN workshop held at NTNU, spring 2016.
  ☆24Updated 7 years ago
• burness / ML_Spark
  the python code of the book:Machine Learning for Spark
  ☆8Updated 8 years ago
• wiibrew / Faster-RCNN_TF
  Faster-RCNN in Tensorflow
  ☆9Updated 8 years ago
• understar / CNN-detection-tracking
  python scripts for vehicle detection and tracking
  ☆26Updated 9 years ago
• phunterlau / kaggle_statefarm
  A simple baseline model set using MXNet for Kaggle StateFarm driver position identification
  ☆27Updated 8 years ago
• songgc / loan-default-prediction
  Loan Default Prediction at Kaggle
  ☆25Updated 10 years ago