Awesome-Dataset-Distillation
Awesome Dataset Distillation Papers (by Guang000)
PeRFception
[NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields. (by POSTECH-CVLab)
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.
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.
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Researchers created a Novel Framework called ‘FedD3’ for Federated Learning in Resource-Constrained Edge Environments via Decentralized Dataset Distillation
Continue Reading | Check out the paper and github link.
- [D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars
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Most Popular AI Research Aug 2022 pt. 2 - Ranked Based On GitHub Stars
https://arxiv.org/abs/2208.11311 https://github.com/Guang000/Awesome-Dataset-Distillation
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.
Awesome-Dataset-Distillation vs textual_inversion
PeRFception vs textual_inversion
Awesome-Dataset-Distillation vs Intrusion-Detection-System-Using-Machine-Learning
PeRFception vs Intrusion-Detection-System-Using-Machine-Learning
Awesome-Dataset-Distillation vs VideoX
PeRFception vs ddsp-singing-vocoders
Awesome-Dataset-Distillation vs bitsandbytes
PeRFception vs MinVIS
Awesome-Dataset-Distillation vs MinVIS
PeRFception vs bitsandbytes
Awesome-Dataset-Distillation vs Cold-Diffusion-Models
PeRFception vs VideoX