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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

caffe

Caffe: a fast open framework for deep learning.

conda-docs

Conda documentation

crowd-simulation

Python project of a crowd simulation

datasets

deep-learning-activity-recognition

A tutorial for using deep learning for activity recognition

dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

genetic-algorithm

Genetic algorithm tutorial for Python

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

grafana

The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More

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.

julia

The Julia Language: A fresh approach to technical computing.

lowwageonmajorprediction

A Machine learning model that takes a few input values such as the major and can then predict the number of low wage jobs the degree can have

machine-learning

Machine learning library written in readable python code

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

make_a_neural_network

This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube

malaysia_ge14_result

Visualisation & Analysis Using Power BI

manb1153

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

module1-project

Workshop Series, Module 1 Project (Numpy)

moshpits

a simple nbody for the moshpits project

muffin-cupcake

classifying muffin and cupcake recipes using support vector machines

multilayer-perceptron

Basic python-numpy implementation of Multi-Layer Perceptron and Backpropagation with regularization

nn-from-scratch

Implementing a Neural Network from Scratch

numpy

Numpy main repository

numpy-project

numpy-project-1

MLDS Workshop 1 Project

pedestrian-cam

Monitoring Foot Traffic over IP Webcams with ML

pythonnnexample

Annotations for the Sirajology Python NN Example. This code comes from a demo NN program from the YouTube video https://youtu.be/h3l4qz76JhQ. The program creates an neural network that simulates the exclusive OR function with two inputs and one output.

rapidminer-studio

Easy-to-use visual environment for predictive analytics. No programming required. RapidMiner is easily the most powerful and intuitive graphical user interface for the design of analysis processes. Forget sifting through code! You can also choose to run in batch mode. Whatever you prefer, RapidMiner has it all.