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llvm-propeller

PROPELLER: Profile Guided Optimizing Large Scale LLVM-based Relinker

lsh_memory

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

lstm-for-predicting-the-next-app-to-use.

Recurrent Neural Network to predict the next app to be used, using Python and Keras.

lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

lte_study

LTE心得总结

mabalgs

:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:

machine-learning

Projects based on Machine Learning

machine-learning-books

machine-learning-from-scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

machine-learning-from-scratch-codingchallenge

Implement Linear Regression, Logistic Regression, Neural networks and many other

machine-learning-in-julia-jcharistech

Tutorials on Machine Learning with Julia, Python

machine_learning-_resources

Machine Learning Resources by Jason Brownlee

machine_learning_basics

Plain python implementations of basic machine learning algorithms

machine_learning_bookshelf

机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

malicious-urls-detection-with-autoencoder-neural-networks

Detecting malicious URLs using an autoencoder neural network

malicious-website-detection

Genetic algorithms in classifying a website as Phishing or Not

mamimo-csi-positioning-using-cnns

This repository contains the source code used for the results in "CSI-based Positioning in Massive MIMO systems using Convolutional Neural Networks".

master-computer-vision-opencv3-in-python-and-machine-learning

Master Computer Vision™ OpenCV3 in Python and Machine Learning, published by Packt

max-deeplab

Unofficial implementation of MaX-DeepLab for Instance Segmentation

maxout

Maxout Networks

media-samples

Multiple samples showing the best practices in media APIs on Android (audio, video, etc.).

mediacodecdemo

基于MediaCodec的硬编解码，YUV420<->Mp4，解码用到了Opencv库进行Byte[]快速旋转[可选]

mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

mediaprojectiondemo

One Activity sample app of using Android Lollipop MediaProjection API to capture device screenshots

metric-learning-divide-and-conquer-improved

Source code for the paper "Improving Deep Metric Learning byDivide and Conquer"

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

minidnn

A header-only C++ library for deep neural networks

ml-class

Machine learning lessons and teaching projects designed for engineers