co-tracker VS kawa

Compare co-tracker vs kawa and see what are their differences.

co-tracker

CoTracker is a model for tracking any point (pixel) on a video. (by facebookresearch)

kawa

A blazingly fast event stream processing library powering the reveald event processing daemon. (by runreveal)
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co-tracker kawa
6 2
2,435 81
4.5% -
6.9 7.7
13 days ago 20 days ago
Jupyter Notebook Go
GNU General Public License v3.0 or later Apache License 2.0
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.

co-tracker

Posts with mentions or reviews of co-tracker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-28.

kawa

Posts with mentions or reviews of kawa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-05.

What are some alternatives?

When comparing co-tracker and kawa you can also consider the following projects:

tapnet - Tracking Any Point (TAP)

puck - The visual editor for React

paxml - Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

llmx - An API for Chat Fine-Tuned Large Language Models (llm)

FLaNK-HuggingFace-BLOOM-LLM - https://huggingface.co/bigscience/bloom into NiFi

openaidemo - Demo of how access the OpenAI API using Java 17

morphir - A universal language for business and technology

concrete-ml - Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.