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lm-snn

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

maker

北京创客读书会，Beginning Arduino读书会授课代码 光 声音 通信 显示器 电机舵机 单总线 spi pwm脉冲 以太网 物联网

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mathematics

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波

megengine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

mememoji

A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

mianjing

micro-expression-with-deep-learning

Experimentation of deep learning on the subjects of micro-expression spotting and recognition.

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

micronet_neurips_challenge

MicroNet Challenge hosted at NeurIPs 2019.

micronet_osi-ai

mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

mixed-precision-pytorch

Training with FP16 weights in PyTorch

mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mlnd_distracted_driver_detection

基于深度学习的驾驶员状态检测，不仅仅可以识别出疲劳驾驶，还能够识别出各种各样的状态

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmrazor

mnn

MNN is a lightweight deep neural network inference engine.

mobilefacenet-v2

🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥

mobilefacenet_pytorch

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

mobilefacenet_tf

Tensorflow implementation for MobileFaceNet

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenet-ssd-linux

mobilenet-yolo

A caffe implementation of MobileNet-YOLO detection network

mobilenet_v1_stm32_cmsis_nn

Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

model-compression-papers

Papers for deep neural network compression and acceleration

model-optimization

A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）