Pinned Repositories
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in depth in 60 days
A-Collection-of-important-tasks-in-pytorch
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
academic-kickstart
Easily create a beautiful website using Academic and Hugo
awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
graphgallery
A gallery of state-of-the-arts deep learning graph models. Implemented with Tensorflow 2.x.
hangzhou_house_knowledge
2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
MARank
Multi-order Attentive Ranking Model for Sequential Recommendation
voladorlu's Repositories
voladorlu/awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
voladorlu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
voladorlu/graphgallery
A gallery of state-of-the-arts deep learning graph models. Implemented with Tensorflow 2.x.
voladorlu/A-Collection-of-important-tasks-in-pytorch
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
voladorlu/Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
voladorlu/awesome-generative-information-retrieval
voladorlu/Awesome-Knowledge-Distillation-1
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
voladorlu/awesome-sentiment-analysis
Reading list for Awesome Sentiment Analysis papers
voladorlu/causality4ml
把因果思维融入机器学习中
voladorlu/CIKM2022_tutorials
Hands on advanced machine learning for information extraction from tweets tasks, data, and open source tools
voladorlu/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
voladorlu/ENRL
voladorlu/GNNGuard
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
voladorlu/Interview
Interview = 简历指南 + LeetCode + Kaggle
voladorlu/KD_methods_with_TF
Knowledge distillation methods implemented with Tensorflow (now there are 10 (+1) methods, and will be added more.)
voladorlu/Logic-LLM
The project page for "LOGIC-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning"
voladorlu/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
voladorlu/MCNS
Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
voladorlu/MetaKGR
Source codes and datasets for EMNLP 2019 paper "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations"
voladorlu/MLGW
Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019
voladorlu/msnews.github.io
voladorlu/mteb
MTEB: Massive Text Embedding Benchmark
voladorlu/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
voladorlu/nn-zero-to-hero
Neural Networks: Zero to Hero
voladorlu/PlotNeuralNet
Latex code for making neural networks diagrams
voladorlu/pml2-book
Probabilistic Machine Learning: Advanced Topics
voladorlu/pymetis
A Python wrapper around Metis, a graph partitioning package
voladorlu/transtab
TransTab: A flexible tabular prediction model amenable to variable-column tables.
voladorlu/tutorial
Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)
voladorlu/voladorlu.github.io
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