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msu-ediscovery-nlp-ml

Updated version of NLP and ML for eDiscovery lecture notes

mt3

MT3: Multi-Task Multitrack Music Transcription

mta-sts

MTA-STS well known for my policy hosted for my email and domain.

mtapi

MetaTrader API

mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

mtranslate

A simple api for google translate

mtrc

Сompiler for the Turing machine emulator

mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

mu-kanren

mubert-text-to-music

A simple notebook demonstrating prompt-based music generation via Mubert API

mubert-text-to-music-1

Mubert Text to Music

muboard

Self-rendering and distributable mathematics chalkboards

mudblazor.templates

Ready to use Blazor Templates in different styles and layout with all the basic setup already done for MudBlazor.

mui-ghidra

MUI support for Ghidra. This is primarily a prototype repository. See the main [MUI repo](https://github.com/trailofbits/mui) for a more complete implementation.

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

mujoco-worldgen

Automatic object XML generation for Mujoco

mukanren

mukanren.jl

minimal miniKanren implementation in Julia

muladdmacro.jl

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

mule

General automation framework

multi-agent-emergence-environments

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

multi-agent-rl

multi-area-model

A large-scale spiking model of the vision-related areas of macaque cortex.

multi-layer-convnet

A multi-layer convnet

multi-model-forgetting

ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting

multi-model-server

Multi Model Server is a tool for serving neural net models for inference

multi-paradigm-programming-using-fsharp-and-.net

Samples from multi-paradigm programming using f# and .net book

multi-stage-graph

multi-task-deep-network

Usage of Multi-task deep learning network for semantic segmentation in medical images

multi-task-learning-example

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