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machinelearning

machine_learning_and_application_v1

本项目代码为雷明老师18年12月在清华出版社出版的《机器学习与应用》第一版中的配套代码，欢迎登录www.sigai.cn试听雷老师《机器学习》《深度学习》视频

mbmd

metapruning

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

mnasnet-pretrained-model

An Implementation of Mnasnet with Pretrained Model

mnn-mtcnn-cpu-opencl

MNN MTCNN C++

mobile-semantic-segmentation

Real-Time Semantic Segmentation in Mobile device

mobilenet

A Clearer and Simpler MobileNet Implementation in TensorFlow

mobilenet_compression

Compress MobileNetV2 using tools from Microsoft NNI

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

netron

Visualizer for deep learning and machine learning models

network-speed-and-compression

Network acceleration methods

network_resource_url

优质的网络资源的地址

nni

nni

nni-slimming-pytorch

nni_prune_resnet18

notebook

个人学习笔记

numerical-analysis-examples

Numerical Analysis Implementations in Various Languages

object-tracking

This object tracking library is optimized by eigen3 and openMP

openclutilities

A small set of function based on the OpenCL C++ bindings to help set up an OpenCL and OpenCL-GL context as well as compiling OpenCL code

opencv

Open Source Computer Vision Library

opencv3-intro-book-src

:blue_book:《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

paper-implementations

Use PyTorch to implement some classic frameworks

paraphrase-id-tensorflow

Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

practical_rl

A course in reinforcement learning in the wild

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.