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Gensim Alternatives
Similar projects and alternatives to gensim
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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GuidedLDA
semi supervised guided topic model with custom guidedLDA (by vi3k6i5)
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xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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ghc
Mirror of the Glasgow Haskell Compiler. Please submit issues and patches to GHC's Gitlab instance (https://gitlab.haskell.org/ghc/ghc). First time contributors are encouraged to get started with the newcomers info (https://gitlab.haskell.org/ghc/ghc/wikis/contributing).
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
gensim reviews and mentions
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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. 🤝
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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.
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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.
- Unsupervised Learning for String Matching in Python - can I have advice on how to go about this?
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How to build a search engine with word embeddings
We will be using gensim to load our Google News pre-trained word vectors. Find the code for this here.
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The Levenshtein Distance in Production
> Problem statement: the Levenshtein distance is a string metric for measuring the difference between two sequences
Another variant is "I have a bunch of words (a dictionary) and one query word, and want to find all words from the dictionary that are close to the query word".
This leads to an interesting class of problems, because you can do clever things where you precompute search structures (Levenshtein automata [0]) from the dictionary. The similarity queries then run (much) faster – in production, performance matters.
We recently merged a PR like that into Gensim [1].
This gave a ~1,500x speed-up compared to naively comparing all pairwise strings with Levenshtein distance. A difference between the training step running for years (=unusable) and minutes.
[0] http://blog.notdot.net/2010/07/Damn-Cool-Algorithms-Levensht...
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Koan: A word2vec negative sampling implementation with correct CBOW update
Apparently it did: https://github.com/RaRe-Technologies/gensim/issues/1873
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A note from our sponsor - WorkOS
workos.com | 18 Mar 2024
Stats
piskvorky/gensim is an open source project licensed under GNU Lesser General Public License v3.0 only which is an OSI approved license.
The primary programming language of gensim is Python.