|9 days ago||about 1 year ago|
|GNU Lesser General Public License v2.1 only||GNU General Public License v2.0 only|
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.
Unsupervised Learning for String Matching in Python - can I have advice on how to go about this?
2 projects | reddit.com/r/learnmachinelearning | 16 Dec 2021
Gensim: Topic Modelling for Humans
1 project | news.ycombinator.com | 7 Dec 2021
Gensim – a Python library for topic modelling, document indexing
1 project | news.ycombinator.com | 25 Nov 2021
How to build a search engine with word embeddings
2 projects | dev.to | 22 Nov 2021
We will be using gensim to load our Google News pre-trained word vectors. Find the code for this here.
The unthinking application of this regex-efficiency check wasted our attention
1 project | news.ycombinator.com | 30 Sep 2021
The Levenshtein Distance in Production
4 projects | news.ycombinator.com | 6 Jun 2021
> 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 ) from the dictionary. The similarity queries then run (much) faster – in production, performance matters.
We recently merged a PR like that into Gensim .
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.
Superior tools to Gensim's similarity
1 project | reddit.com/r/LanguageTechnology | 20 Mar 2021
So Gensim's Similarity module seems like a good fit for this problem, especially soft cosine similarity checking. But inside I can't get comfortable, because transformers are very popular lately.
Koan: A word2vec negative sampling implementation with correct CBOW update
2 projects | news.ycombinator.com | 2 Jan 2021
Apparently it did: https://github.com/RaRe-Technologies/gensim/issues/1873
We haven't tracked posts mentioning hebel yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
scikit-learn - scikit-learn: machine learning in Python
tensorflow - An Open Source Machine Learning Framework for Everyone
MLflow - Open source platform for the machine learning lifecycle
Keras - Deep Learning for humans
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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
gym - A toolkit for developing and comparing reinforcement learning algorithms.
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
fuzzywuzzy - Fuzzy String Matching in Python
bodywork - ML pipeline orchestration and model deployments on Kubernetes, made really easy.
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit