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minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

minijava

ml-compiler-opt

Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.

ml-ease

ADMM based large scale logistic regression

mldb

MLDB is the Machine Learning Database

mleap

MLeap: Deploy Spark Pipelines to Production

mlflow

Open source platform for the machine learning lifecycle

mlserver

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

mlton

The MLton repository

mm-react

Official repo for MM-REACT

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

mmlspark

Microsoft Machine Learning for Apache Spark

mobileagent

Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

model

“悟道”模型

models

Models and examples built with TensorFlow

modern-computer-vision-with-pytorch

Modern Computer Vision with PyTorch, published by Packt

monkey

【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models

mosesdecoder

Moses, the machine translation system

moss

An open-source tool-augmented conversational language model from Fudan University

moss-rlhf

MOSS-RLHF

mpich2-yarn

Running MPICH2 on Yarn

mpitutorial

MPI programming lessons in C and executable code examples

mplug-docowl

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

multimodal

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

multiverso

Parameter server framework for distributed machine learning

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more