sean0719 Goto Github PK

k-shortest-paths

An implementation of the Yen's Algorithm for ranking the K shortest loopless paths between a pair of nodes in a network

knowledge_representation_pytorch

Several knowledge graph representation algorithms implemented with pytorch

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

latex-templates

Website for personal collection and previewing of LaTeX templates. Presented with Python/Jinja2.

learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

learning-to-route

Code for ICML2019 paper: Learning to Route in Similarity Graphs

learningnotes

lfeng-ntu.github.io

libmtl

LibMTL: A PyTorch Library for Multi-Task Learning

lihang-code

《统计学习方法》的代码实现

line

A PyTorch implementation of the LINE paper.

long-short-transformer

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

lstm-classification-pytorch

Text classification based on LSTM on R8 dataset for pytorch implementation

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning

Some implementations of data mining algorithms

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-study-path-march-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

machine_learning_beginner

机器学习初学者公众号作品

machine_learning_tutorials

Code, exercises and tutorials of my personal blog ! 📝

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

maga33.github.io

personal website

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml_noisy_contrasive_learner

marktext

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mcns

Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"

md-gan

This repository contains PyTorch implementation of MD-GAN, along with training iPython notebook and trained models. Currently, this repository contains the training of data generated from a Gaussian mixture model (GMM). Two trained models included in this repository: the first one trained on data of a grid of 5 x 5 mixture of Gaussian and the second model trained on data of two mixture of Gaussian which are centered at -5 and 5.

mdn

Mixture density network implemented in PyTorch.

mentornet

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks