Alternatives and similar repositories for image-processing-with-numpy

Users that are interested in image-processing-with-numpy are comparing it to the libraries listed below

• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 6 years ago
• greydanus / pythonic_ocr
  A convolutional neural network implemented in pure numpy.
  ☆68Updated 7 years ago
• rdipietro / jupyter-notebooks
  ☆79Updated 7 years ago
• kevinzakka / blog-code
  My blog's code repository.
  ☆76Updated 5 years ago
• mmmayo13 / scikit-learn-beginners-tutorials
  Abridged implementation of the official scikit-learn beginner tutorials
  ☆51Updated 9 years ago
• scivision / pyimagevideo
  write animated GIF, multipage append TIFF, AVI OGV video in Python
  ☆39Updated 5 months ago
• runhani / cv-papers-with-code
  Computer Vision Papers with Code in GitHub
  ☆45Updated 8 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆81Updated 7 years ago
• PacktPublishing / Python-End-to-end-Data-Analysis
  Code repository for Python End to end Data Analysis, Published By Packt
  ☆46Updated 2 years ago
• CatalystCode / image-segmentation-auto-labels
  A service to auto-generate masks for image segmentation
  ☆22Updated 7 years ago
• fastai / Str8Pix
  find the optimal rotation to correct skewed photos
  ☆11Updated 8 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• ELEKTRONN / ELEKTRONN
  A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks (superceded by https://github.com/ELEKTRONN/elektronn3)
  ☆38Updated 3 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 5 years ago
• deepsense-ai / deep_learning_art_webinar
  ☆10Updated 8 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆129Updated 8 years ago
• brine-io / u-net-segmentation-example
  An example Jupyter notebook for image segmentation using U-Net and Brine
  ☆37Updated 6 years ago
• dorajam / Convolutional-Network
  A convolutional neural network from scratch
  ☆102Updated 8 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 6 years ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 8 years ago
• oldclesleycode / deep-learning-python
  Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
  ☆95Updated 7 years ago
• GKalliatakis / Adventures-in-deep-learning
  A curated list of Deep Learning resources sorted by reputation
  ☆127Updated 6 years ago
• orobix / PyCon9-Pytorch-from-Ground-Up
  Material for "PyTorch from Ground Up", a training session at PyCon Nove (Florence, 2018)
  ☆10Updated 7 years ago
• ctmakro / hellotensor
  f331 7h3 134rn
  ☆17Updated 8 years ago
• llSourcell / visualize_dataset_demo
  This is the code for the "How to Best Visualize a Dataset Easily" Siraj Raval on Youtube
  ☆59Updated 4 years ago
• yashk2810 / Semantic-Image-Segmentation
  Applying the 100 Layer Tiramisu on the Camvid Dataset
  ☆29Updated 7 years ago
• EricSchles / awesome_stuff
  ☆27Updated 6 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 8 years ago
• bonzanini / VideoCourse-DataScienceRecipes
  Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing
  ☆33Updated 7 years ago