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The Wayback Machine - https://web.archive.org/web/20220917030203/https://github.com/topics/negative-sampling
Here are
35 public repositories
matching this topic...
基于Pytorch和torchtext的自然语言处理深度学习框架。
Updated
Dec 14, 2020
Python
🎯 Task-oriented finetuning for better embeddings on neural search
Updated
Sep 16, 2022
Python
Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling
Updated
Jan 21, 2021
Python
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
Updated
Jun 22, 2022
Python
This repository collects 100 papers related to negative sampling methods.
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
Updated
May 31, 2022
Python
Implements various negative sampling techniques for learning knowledge graph embeddings
Updated
Sep 2, 2019
Python
PyTorch implementation of Structure Aware Negative Sampling in Knowledge Graphs
Updated
Jun 8, 2020
Python
Updated
Aug 28, 2021
Python
A PyTorch Implementation of the Skipgram Negative Sampling Word2Vec Model as Described in Mikolov et al.
Updated
Jan 13, 2020
Python
This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift
Updated
May 4, 2021
Jupyter Notebook
Personal implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"
Updated
Jan 10, 2022
Python
A Jax implementation of word2vec's skip-gram model with negative sampling as described in Mikolov et al., 2013
Updated
Feb 22, 2021
Python
Updated
Sep 15, 2021
Python
Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models
Updated
Mar 28, 2021
Jupyter Notebook
Word2Vec sikp-gram model with negative sampling implementation with python3
Updated
Jun 18, 2020
Python
C/C++ code for word2vec and n-gram Subword model
gdp is generating distributed representation code sets written by pytorch. This code sets is including skip gram and cbow.
Updated
May 12, 2019
Python
SkipGram NegativeSampling implemented in PyTorch.
Updated
Mar 13, 2021
Python
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