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machine_learning_examples

A collection of machine learning examples and tutorials.

mask_rcnn

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

mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

mit-deep-learning-book-pdf

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

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mobilenet

models

Models and examples built with TensorFlow

monodroid-samples

A collection of Mono for Android sample projects.

mrf

Markov Random Field

mujoco

Python wrapper for MuJoCo physics simulation.

multiagent-competition

Repository for competitive multi-agent environments

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

neuralfaceediting

Code for : Neural Face Editing with Intrinsic Image Disentangling

neuralkart

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

objective-c-style-guide

The Objective-C Style Guide used by The New York Times

onnx

Open Neural Network Exchange

openmined

The OpenMined Unity Application

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

opensfm

Open source Structure from Motion pipeline

papers

Summaries of machine learning papers

papers-1

:paperclip: Summaries of papers on deep learning

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pixyll

A simple, beautiful Jekyll theme that's mobile first

plotly.js

The open source JavaScript graphing library that powers plotly

poclbm

PyOpenCL bitcoin miner

prog_nn

A Quick and Dirty Progressive Neural Network written in TensorFlow.

progressive_a3c

Code used for an implementation of Progressive Neural Networks

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation