Gensim

Gensim

Radim Řehůřek
+

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About

Gensim is a free, open source Python library designed for unsupervised topic modeling and natural language processing, focusing on large-scale semantic modeling. It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents. Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.

About

The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.

About

Year-to-year comparisons can highlight trends and point up the need for action. Trend ratio analysis works best with VentureLine's five-year accounting ratios married with a common size analysis. With time period to time period in financial analysis, good or poor performance becomes obvious. VentureLine provides cross-sectional financial analysis tools, comparing industry financial ratios to any company or comparing two companies in similar lines of business. Highly recommended by expert analysts is the most effective form of cross-sectional financial analysis: comparing a company's financial ratios and common size percentages to industry ratios and percentages in which the company competes. One way to visually zero in on potential problems and missteps taking place within a business is to prepare and study common size financial statements. Common size financial statements get rid of the dollars and cents, reflecting account balances as percentages only.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning practitioners seeking a solution for topic modeling and semantic analysis of large text corpora

Audience

IoT Operating System for developers wanting to run microcontrollers

Audience

Companies searching for a financial analysis solution to manage and improve their operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Radim Řehůřek
Founded: 2009
Czech Republic
radimrehurek.com/gensim/

Company Information

MicroPython
United Kingdom
micropython.org

Company Information

VentureLine
www.ventureline.com

Alternatives

GloVe

GloVe

Stanford NLP

Alternatives

Alternatives

word2vec

word2vec

Google
Juris Analyst

Juris Analyst

Juris Technologies
Lambda

Lambda

Lambda Finance
Cohere

Cohere

Cohere AI
Decision Critical Enterprise Modeling

Decision Critical Enterprise Modeling

Decision Modeling Systems

Categories

Categories

Categories

Financial Reporting Features

"What If" Scenarios
Audit Trail
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
General Ledger
Income Statements
Multi-Company
Multi-Department / Project
Profit / Loss Statement

Integrations

C
Cython
EEZ Studio
LVGL
NumPy
Python
RT-Thread
SquareLine Studio
fastText
word2vec

Integrations

C
Cython
EEZ Studio
LVGL
NumPy
Python
RT-Thread
SquareLine Studio
fastText
word2vec

Integrations

C
Cython
EEZ Studio
LVGL
NumPy
Python
RT-Thread
SquareLine Studio
fastText
word2vec
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