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learning-to-reweight-examples-1

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

learningweka

Weka learning note

lianjia-beike-spider

链家网和贝壳网房价爬虫，采集北京上海广州深圳等21个**主要城市的房价数据（小区，二手房，出租房，新房），稳定可靠快速！支持csv,MySQL, MongoDB,Excel, json存储，支持Python2和3，图表展示数据，注释丰富 🚁，点星支持

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

llm-eval-survey

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

loss-balanced-task-weighting

luminoth

Deep Learning toolkit for Computer Vision.

machine-deep-learning-materials

This repository shares very helpful materials, available on the Internet, for Machine Learning and Deep Learning.

machine-learning---multivariable-regression

Systolic Blood Pressure level based on PPG signal's parameteres

machine-learning-interview-qa

人工智能-机器学习笔试面试题解析

mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

meta-rppg

Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mimic-iii-paper

Repository for the paper describing MIMIC-III

mimic-preprocess

MIMIC preprocessing for the ICML paper "Dynamic Measurement Scheduling for Event Forecasting Using Deep RL"

mimic3-benchmarks

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

mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

mimic_iii

Assortment of work related to the MIMIC-III Database. Including data processing and machine learning.

mixmatch

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mlhc2018_sequencetransformernetworks

Code release for "Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks" (Oh, Wang, Wiens), MLHC 2018. https://arxiv.org/abs/1808.06725

mobilenetv3-tf

Tensorflow implementation for two new MobileNetV3 models!

mtd2l

Multi-task distribution learning for BP estimation

mtrl-auto-uav

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

mtw

Wasserstein regularization for sparse multi-task regression

multi-domain-imbalance

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

multi-task-learning-example

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

multitask-learning

Multitask Learning Resources