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examples

TensorFlow examples

gretel-blueprints

Public blueprints for data use cases

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

hcnccode

Source codes of "Hierarchical Projective Invariant Contexts for Shape Recognition"

heading-date-estimation

Implementation of "Automatic Estimation of Heading Date of Paddy Rice using Deep Learning"

herbarium_comp

Herbarium Challenge 2019 - FGVC6

idsc_shapematching

shape matching algorithm from haibin lin

image-processing

Functions related to image processing

imbalance_class_sklearn

Address imbalance classes in machine learning projects.

imbalanced-data

Notebook implementing techniques discussed in my blog post about imbalanced data.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

inpainting-gmcnn-keras

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

inselect

Cross-platform desktop app for the segmentation and annotation of images of museum objects

instancelabeltool

Instance segmentation and occlusion boundary label tool

java-docs-samples

jmorph

JMorph: Software for performing rapid morphometric measurements on digital images of fossil assemblages

kaist_2019_deep-learning_hw3

A PyTorch Implementation of "Extracting and Composing Robust Features with Denoising Autoencoders"

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

kmeans_smote

Oversampling for imbalanced learning based on k-means and SMOTE

leaf-classification

Deep Reinforcement, Highway, and Convolutional Networks to Classify Leaf Species

leaf_kaggle

My code for Leaf Identification Kaggle Competition

leafident

Identify trees based on leaf images

longitmssegm

Repository for MS lesion segmentation using deep learning

machine-learning

Some implementations of data mining algorithms

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

multiresolution-cnn

n-queens-hill-climbing

A hill climbing algorithm solving the N queens problem

network_extraction

Software package for the automatic extraction of network data (graphs) from images.