zgsxwsdxg,github

michi-c

Michi-c --- Michi (Minimalistic Go MCTS Engine) recoded in C

miles-deep

Deep Learning Porn Video Classifier/Editor with Caffe

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.

mini-caffe

Minimal runtime core of Caffe porting to WIN32.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mit-deep-learning-book-pdf

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

mitie

MITIE: library and tools for information extraction

mkcfup

MKCF: Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018).

mkl-dnn

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

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

mlalgorithms

Minimal and clean examples of machine learning algorithms

mlpack

mlpack: a scalable C++ machine learning library --

mltest

Testing framework to simplify writing ML unit tests.

mmcv

Open MMLab Computer Vision Foundation

mmdetection

Open MMLab Detection Toolbox

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 and PyTorch.