SeeAI VS 2D-Gaussian-Splatting

Compare SeeAI vs 2D-Gaussian-Splatting and see what are their differences.

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SeeAI 2D-Gaussian-Splatting
2 1
7 301
- -
10.0 6.4
over 1 year ago 22 days ago
Jupyter Notebook Jupyter Notebook
BSD 2-clause "Simplified" 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.

SeeAI

Posts with mentions or reviews of SeeAI. We have used some of these posts to build our list of alternatives and similar projects.

2D-Gaussian-Splatting

Posts with mentions or reviews of 2D-Gaussian-Splatting. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SeeAI and 2D-Gaussian-Splatting you can also consider the following projects:

lane-detection-opencv - This is for detecting any lane in the road to identify the road map

awesome-3D-gaussian-splatting - Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

D-Drone_v2 - Detection of Drones using Computer Vision Algorithms

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

DeepLearning - Contains all my works, references for deep learning

TradeMaster - TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

Social_Distancing_with_AI - Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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