LaViLa VS textual-markdown

Compare LaViLa vs textual-markdown and see what are their differences.

LaViLa

Code release for "Learning Video Representations from Large Language Models" (by facebookresearch)
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LaViLa textual-markdown
2 6
440 439
3.6% -
3.6 10.0
8 months ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

LaViLa

Posts with mentions or reviews of LaViLa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-12.

textual-markdown

Posts with mentions or reviews of textual-markdown. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-19.

What are some alternatives?

When comparing LaViLa and textual-markdown you can also consider the following projects:

twitter-archive-parser - Python code to parse a Twitter archive and output in various ways

bricks - Open-source natural language enrichments at your fingertips.

min - A fast, minimal browser that protects your privacy

skypilot - SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

pynimate - Python package for statistical data animations

reflex - 🕸️ Web apps in pure Python 🐍

spring-pulsar - Spring Friendly Abstractions for Apache Pulsar

codon - A high-performance, zero-overhead, extensible Python compiler using LLVM

terminal-copilot - A smart terminal assistant that helps you find the right command.