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ml_benchmark_classification

Pruning, MTL, MOO benchmark repository

ml_model_deployment

mlt_byteps

mltk

Machine Learning Tool Kit

mmft-bert

mmgcn

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

mmrecsys_survey20

mmt-retrieval

mmvae

Multimodal Mixture-of-Experts VAE

mne

Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"

mocap-solver

modal

A modular active learning framework for Python

model-analysis

Model analysis tools for TensorFlow

model-based-reinforcement-learning-for-online-recommendation

A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.

model_framework

includes feature engineering, model engineering.

modeldb

Open Source ML Model Versioning, Metadata, and Experiment Management

models

A collection of pre-trained, state-of-the-art models in the ONNX format

models-1

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）

models-2

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

models-3

Models and examples built with TensorFlow

modern-cpp-features

A cheatsheet of modern C++ language and library features.

modularization-examples

如何复用一套代码满足多样化的需求？

modurec

moeaframework

A Free and Open Source Java Framework for Multiobjective Optimization

moew

Implement Metrics-Optimize Example Weight (MOEW) on sklearn, xgboost and lightgbm

moltr

Multi-Objective Learning to Rank with LightGBM

monet

MoNET framework for reducing memory consumption of DNN

mongoose

A Learnable LSH Framework for Efficient NN Training

monotonic-nets

Deep neural networks with monotonicity guarantees. The control over monotonicity properties can be used to improve the interpretability. Monotonicity guarantees is often a concern in finance and insurance applications due to regulatory reasons.

moo-gbt

Library for Multi-objective optimization in Gradient Boosted Trees