negative-sampling
There are 50 repositories under negative-sampling topic.
jina-ai/finetuner
:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
smilelight/lightNLP
基于Pytorch和torchtext的自然语言处理深度学习框架。
RUCAIBox/Negative-Sampling-Paper
This repository collects 100 papers related to negative sampling methods.
Andras7/word2vec-pytorch
Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling
xiangwang1223/kgpolicy
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
microsoft/SimXNS
SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.
huangtinglin/MixGCF
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
otto-de/TRON
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
bhushank/kge-rl
Implements various negative sampling techniques for learning knowledge graph embeddings
DSXiangLi/Embedding
Embedding模型代码和学习笔记总结
zjukg/AdaMF-MAT
[Paper][LREC-COLING 2024] Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
nicolas-hbt/semantic-lossfunc
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
ddehueck/skip-gram-negative-sampling
A PyTorch Implementation of the Skipgram Negative Sampling Word2Vec Model as Described in Mikolov et al.
juyongjiang/Awesome-ANCE
Implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"
AsmirMumin/Retail-Coupon-Recommendation-for-Revenue-Optimization
This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift
ddehueck/jax-skip-gram-negative-sampling
A Jax implementation of word2vec's skip-gram model with negative sampling as described in Mikolov et al., 2013
rodosingh/Intro-NLP-IIITH
Course Materials (along with assignments) for Intro to NLP, done as a part for requirement of the course "Introduction to NLP" (course-code: CS7.401.S22) @ IIITH. Note: If you are cloning this or taking help of this repo, try to star the repo.
mhw32/contrastive-ring-public
PyTorch implementation for " Conditional Negative Sampling for Contrastive Learning of Visual Representations" (https://arxiv.org/abs/2010.02037).
XuHwang/CoRR_www
Cooperation of Retriever and Ranker Framework.
zjukg/MANS
[Paper][IJCNN2023] Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
hanxiao0607/InterpretableSAD
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data (BigData 2021)
jeongwhanchoi/SCONE
"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025
jongwonJeong/FPAdaMetric
published at AAAI 2022
Huixxi/NLP_Word2Vec
Word2Vec sikp-gram model with negative sampling implementation with python3
AnFrBo/coupon_optimization
Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models
amzn/informative-diverse-hard-negative-sampling
Experimental code for our paper on informative and diverse sampling of negative examples for dense retrieval
ichise-laboratory/tuckerdncaching
We extend the idea of reducing false negatives by adopting a Tucker decomposition representation to enhance the semantic soundness of latent relations among entities by introducing a relation feature space.
JunhoKim94/word2vecC
C/C++ code for word2vec and n-gram Subword model
RottenFruits/gdp
gdp is generating distributed representation code sets written by pytorch. This code sets is including skip gram and cbow.
USTCLLM/GeoSAN
Pytorch implementation of GeoSAN (Geography-Aware Sequential Location Recommendation. KDD 2021)
xieh97/contrastive-negative-sampling
Source code for negative sampling for contrastive audio-text retrieval (ICASSP 2023)
Xzaohui/chemical_ner
北京大数据技能大赛
ZubinGou/SGNS-PyTorch
SkipGram NegativeSampling implemented in PyTorch.
adityavavre/word2vec
Implementation of word2vec using negative sampling technique in skipgram model to obtain word vectors
Faizan-E-Mustafa/GNN_EACL_Workshop
Link Prediction using GNN
wenhaofang/Word2vec
Some demo word2vec models implemented with pytorch, including Continuous-Bag-Of-Words / Skip-Gram with Hierarchical-Softmax / Negative-Sampling.