Awesome-Dataset-Distillation VS PeRFception

Compare Awesome-Dataset-Distillation vs PeRFception and see what are their differences.

PeRFception

[NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields. (by POSTECH-CVLab)
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Awesome-Dataset-Distillation PeRFception
3 5
1,173 327
- 1.8%
9.6 0.0
14 days ago over 1 year ago
HTML Python
MIT License 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.

Awesome-Dataset-Distillation

Posts with mentions or reviews of Awesome-Dataset-Distillation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-03.

PeRFception

Posts with mentions or reviews of PeRFception. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-03.

What are some alternatives?

When comparing Awesome-Dataset-Distillation and PeRFception you can also consider the following projects:

textual_inversion

Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

VideoX - VideoX: a collection of video cross-modal models

ddsp-singing-vocoders - Official implementation of SawSing (ISMIR'22)

bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.

MinVIS

Cold-Diffusion-Models - Official implementation of Cold-Diffusion for different transformations in pytorch.