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medvill

MedViLL official code. (Published IEEE JBHI 2021)

meka

Multi-label classifiers and evaluation procedures using the Weka machine learning framework.

membership-inference-evaluation

Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

membership_inference

Python package to create adversarial agents for membership inference attacks againts machine learning models

membership_inference_attack

Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.

memn2n-tensorflow

"End-To-End Memory Networks" in Tensorflow

memnet

Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)

memnet-tensorflow

Tensorflow implementation of MemNet(http://cvlab.cse.msu.edu/pdfs/Image_Restoration%20using_Persistent_Memory_Network.pdf).

memnn

Memory Networks implementations

mend

MEND: Fast Model Editing at Scale

mesa

This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".

meshrcnn

code for Mesh R-CNN, ICCV 2019

meta-learning-papers

A classified list of meta learning papers based on realm.

meta-rl

Implementation of Meta-RL A3C algorithm

meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

metann

MetaModule provides extensions of PyTorch Module for meta learning

metaseq

Repo for external large-scale work

metfa

Code for paper ''Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment''

mgcnn

Multi-Graph Convolutional Neural Networks

mgnets

Implementation of Multiplex Graph Networks for Multimodal Brain Network Analysis

mibook-air

让你的小米笔记本吃上苹果🍎

michael728.github.io

My-Blog

midlevel-reps

Code for the paper: Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies. More info on the website!

milq

Useful code of Manuel Ignacio López Quintero

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

mindsdb

Framework to streamline use of neural networks

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

minifold

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

mining-massive-datasets

Data mining algorithms with Python

mining-massive-datasets-1

Coursera Mining Massive Datasets

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