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imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

introduction-datascience-python-book

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

iot-jumpway-microsoft-examples

Get started with the Internet of Things & Artificial Intelligence using Microsoft technologies and the IoT JumpWay.

iot-jumpway-rpi-examples

Examples of using the IoT JumpWay with the Raspberry Pi 3.

keras-idiomatic-programmer

Handbooks and Code Samples for Software Engineers wanting to learn the Keras Machine Learning framework

leafdiag

LeafDiag is an Android mobile application, which can automatically identify the plants diseases based on its leaf appearance with some computer vision and machine learning techniques.

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-by-andrew-ng-in-python

Documenting my python implementation of Andrew Ng's Machine Learning course

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machine-learning-samples

Sample applications built using AWS' Amazon Machine Learning.

machine-learning-study-path-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

machine-learning-with-python

Small scale machine learning projects to understand the core concepts

machine_learning_examples

A collection of machine learning examples and tutorials.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

melvincabatuan.github.io

MLVN = Machine Learning + Vision + Networks

milk

MILK: Machine Learning Toolkit

mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

models

Models and examples built with TensorFlow

object-counter-using-opencv-instance-segmentation

Object Counter using Opencv Instance Segmentation - Mask R-CNN

object_detection_demo

How to train an object detection model easy for free

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

ph-province-boundaries

plant_disease_detection

Plant Disease Detector Web Application

plantvillage_deeplearning_paper_analysis

plantvillage_deeplearning_paper_dataset

practicalpythonandopencv

codes of the Practical Python and OpenCV and Case Studies

practicalpythonandopencv_casestudies

Edited code examples from the book 'Practical Python and OpenCV - Case Studies (3rd Edition)' by Adrian Rosebrock

projects

TLM Monthly Projects. Join our slack to work on them.