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model-quantization-1

Collections of model quantization algorithms

model_log

Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具，可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等，并以曲线图的形式进行展现对比，轻松三步即可实现。

models-comparison.pytorch

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

momentum2-teacher

Implementation of momentum^2 teacher

monet

MONeT framework for reducing memory consumption of DNN training

mono-uncertainty

CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation

morph-net

Fast & Simple Resource-Constrained Learning of Deep Network Structure

mpl-pytorch

Unofficial PyTorch implementation of "Meta Pseudo Labels"

mqbench

msdnet-pytorch

MSDNet

mtlnas

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

multi-modal-transformer

The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and self-supervised learning models. Additionally, it also collects many useful tutorials and tools in these related domains.

multi-model-forgetting

ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting

multi-sample_dropout_pytorch

a simple pytorch implement of Multi-Sample Dropout

multi-scale-curriculum

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

multi-task-architecture-search

multiexit-distillation

multimodal-ml-music

List of academic resources on Multimodal ML for Music

multitune

Adaptive Integration of Multiple Fine-tuning Models in Transfer Learning for Image Classification

multiwaybp

Implementations for Multi-way BP.

muse

A library for Multilingual Unsupervised or Supervised word Embeddings

mutual-to-separate

Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

mutualguide

[ACCV2020] Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

mutualnet

[ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

muxconv

mwh

nao_pytorch

Pytorch Implementation of Neural Architecture Optimization

nas-benchmark

Code for our ICLR2020 paper "NAS evaluation is frustratingly hard"

nas-encodings

Encodings for neural architecture search

nas-fcos

NAS-FCOS: Fast Neural Architecture Search for Object Detection