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medmnist

[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

mempool

mentornet

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

metacam_dsce

Code for our CVPR 2021 paper "MetaCam+DSCE"

metaoptnet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

metapruning

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

metaquant

Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019

metric_learn

Metric learning algorithms in Python

micro-net

mini-dnn-cpp

C++ demo of deep neural networks (MLP, CNN)

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

mipnet

mixconv_pytorch

mixmatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

ml-cifar-10-faster

ml-cvnets

CVNets: A library for training computer vision networks

ml-examples

Arm Machine Learning tutorials and examples

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

ml-mobileone

This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

ml-optimizers-jax

Toy implementations of some popular ML optimizers using Python/JAX

ml-suite

Getting Started with Xilinx ML Suite

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

ml2021-spring

李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring

ml_cheatsheet

A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

mlapp_cn_code

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

mlbook

Repository for the free online book Machine Learning from Scratch (link below!)

mlp-mixer

PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI