gensim
mage
Our great sponsors
gensim | mage | |
---|---|---|
18 | 19 | |
15,236 | 230 | |
1.3% | 3.0% | |
7.5 | 8.5 | |
2 days ago | 6 days ago | |
Python | C++ | |
GNU Lesser General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gensim
- Aggregating news from different sources
-
Understanding How Dynamic node2vec Works on Streaming Data
This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🤝
-
Topic modeling --- allow multiple topics per statement
Try LDA as implemented in gemsin https://github.com/RaRe-Technologies/gensim
-
Is it home bias or is data wrangling for machine learning in python much less intuitive and much more burdensome than in R?
Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling.
- sentence transformer vector dimensionality reduction to 1
- Where to start for recommendation systems
-
GET STARTED WITH TOPIC MODELLING USING GENSIM IN NLP
Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;
-
Show HN: I built a site that summarizes articles and PDFs using NLP
Nice work! I wonder if you're going the same challenges that gensim had for being generic in summarization.
For context:
> Despite its general-sounding name, the module will not satisfy the majority of use cases in production and is likely to waste people's time.
https://github.com/RaRe-Technologies/gensim/wiki/Migrating-f...
-
[Research] Text summarization using Python, that can run on Android devices?
TextRank will work without any problems. https://radimrehurek.com/gensim/
-
Topic modelling with Gensim and SpaCy on startup news
For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use.
mage
-
How to Implement Custom JSON Utility Procedures With Memgraph MAGE and Python
You can find the MAGE repository on this link.
-
Link Prediction With node2vec in Physics Collaboration Network
We will import these 118521 edges, and act as if they are undirected. The Node2Vec algorithm in MAGE accepts parameters whether to treat graph from Memgraph as directed or undirected.
-
Optimizing Telco Networks With Graph Coloring & Memgraph MAGE
Memgraph introduces the concept of query modules, collections of user-written Cypher procedures intended to extend Cypher by implementing complex graph algorithms. Various query modules are already implemented and ready to use in an open-source project MAGE.
-
Synchronize Data Between Memgraph Graph Database and Elasticsearch
However, there is one more thing that we should really think about when syncing Memgraph and Elasticsearch and that is expandability. The challenge is to build a solution that will need the minimum amount of change when a new method is required. That is why we decided to use Memgraph’s Pythonic capabilities and create a new query module that uses Elasticsearch’s API inside Memgraph’s graph library MAGE.
-
How to Identify Essential Proteins Using Betweenness Centrality
Memgraph Advanced Graph Extensions, or for short, MAGE, is an open-source graph library that contains implementations of standard and incremental graph algorithms. You can use any of the algorithms as well as implement your own.
-
MAGE Got One More Wizard Called Rust
MAGE is an open-source repository that contains many Memgraph modules in various programming languages. The overall idea is to extend Memgraph with capabilities that are not part of the core engine. One of the critical design decisions early on was the compatibility with various programming languages to support different application stacks and developers with varying skill sets. Up until now, only C/C++ and Python were first-class citizens of the Memgraph ecosystem, but Rust is quickly running through the front doors!
-
Production ready Graph Database
Memgraph is a graph database in C++ but heavy on Rust as well. The client -> https://github.com/memgraph/rsmgclient (still early, please report any issues). It's possible to write query modules for Memgraph in Rust -> https://github.com/memgraph/mage/tree/main/rust (the "rusty" wrapper).
-
Importing Table Data Into a Graph Database With GQLAlchemy
If you want to do more with your graph data, visit the Memgraph MAGE graph library (and throw us a star ⭐) and take a look at all of the graph algorithms that have been implemented. You can also implement and submit your own algorithms and utility procedures.
-
Influencers Among Computer Scientists
Finally, if you are working on your query module and would like to share it with other developers, take a look at the contributing guidelines. We would be more than happy to provide feedback and add the module to the MAGE repository.
-
LabelRankT – Community Detection in Dynamic Environment
We at Memgraph recognize your challenges. In this article, you will learn about the merits of online community detection methods and get acquainted with the LabelRankT algorithm by Xie et al., now available in MAGE 1.1.
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
graph-data-science - Source code for the Neo4j Graph Data Science library of graph algorithms.
scikit-learn - scikit-learn: machine learning in Python
cugraph - cuGraph - RAPIDS Graph Analytics Library
MLflow - Open source platform for the machine learning lifecycle
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
tensorflow - An Open Source Machine Learning Framework for Everyone
TerraForge3D - Cross Platform Professional Procedural Terrain Generation & Texturing Tool
Keras - Deep Learning for humans
demo-news-recommendation - Exploring News Recommendation With Neo4j GDS
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
rsmgclient - Memgraph database adapter for Rust programming language.