VideoX VS Awesome-Dataset-Distillation

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

VideoX

VideoX: a collection of video cross-modal models (by microsoft)
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Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers (by Guang000)
awesome-list Deep Learning
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guang000.github.io
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VideoX Awesome-Dataset-Distillation
7 3
930 1,156
3.0% -
3.9 9.6
about 1 month ago 10 days ago
Python HTML
GNU General Public License v3.0 or later 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.

VideoX

Posts with mentions or reviews of VideoX. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-03.
  • Generative AI
    1 project | dev.to | 10 Jan 2023
    Input Output Theme Use Case Example Platforms Text Text Marketing Copywriting, creative personalisation, SEO optimisation Jasper AI (https://www.jasper.ai/) WRITER (https://writer.com/) Video Video / Text Sales Business development agumentation, Sales coaching https://www.regie.ai/ https://www.oliv.a/ Audio Text / Audio CRM Customer service chatbots (answering tickets and queries) https://symbl.ai/ https://forethought.ai/ Audio / Text Audio / Text Talent Management Performance management, Job interviews, Coaching, training https://www.onloop.com/ https://www.converzai.com/ Text Text Legal Contract drafting, Legal validation / citations https://casetext.com/ Text Text Code creation Natural language to generate code for softwares. AI pair programmer https://mayalabs.io/ https://github.com/features/copilot https://debuild.app/ https://kombai.io/ Text Text Code Documentation Natural language to generate code for softwares. AI pair programmer https://mayalabs.io/ https://github.com/features/copilot Text Image Art Generation AI system that can create realistic images and art from a description in natural language. https://openai.com/dall-e-2/ https://midjourney.com/home/?callbackUrl=%2Fapp%2F Text Text ML Model Build, train and deploy AI models https://huggingface.co/ https://replicate.com/ Text Audio Voice Synthesis Educational platform, training, Cognitive coaching https://synthesys.io/ https://speechify.com/ Text Video Video Educational platform, training, Cognitive coaching https://www.synthesia.io/ https://github.com/microsoft/VideoX/tree/master/X-CLIP Text Image 3D modelling Storyboarding for games, 3D video modelling https://nv-tlabs.github.io/GET3D/ https://dreamfusion3d.github.io/
  • General Video Recognition with AI (How AI Understands Videos)
    1 project | /r/ArtificialInteligence | 7 Sep 2022
    ►Code: https://github.com/microsoft/VideoX/tree/master/X-CLIP
  • [D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars
    5 projects | /r/MachineLearning | 3 Sep 2022
    10 projects | /r/MachineLearning | 3 Sep 2022
  • Most Popular AI Research Aug 2022 pt. 2 - Ranked Based On GitHub Stars
    10 projects | /r/learnmachinelearning | 2 Sep 2022
  • Stable Diffusion: Is Video Coming Soon?
    2 projects | news.ycombinator.com | 1 Sep 2022
    The pieces are coming into place https://github.com/microsoft/VideoX/tree/master/X-CLIP
  • Latest Computer Vision Research At Microsoft Explains How This Proposed Method Adapts The Pretrained Language Image Models To Video Recognition
    1 project | /r/machinelearningnews | 26 Aug 2022
    Continue reading | Check out the paper and github link

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.

What are some alternatives?

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

textual_inversion

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

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..)

PeRFception - [NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

MinVIS

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

VideoX vs textual_inversion Awesome-Dataset-Distillation vs textual_inversion VideoX vs bitsandbytes Awesome-Dataset-Distillation vs Intrusion-Detection-System-Using-Machine-Learning VideoX vs Intrusion-Detection-System-Using-Machine-Learning Awesome-Dataset-Distillation vs PeRFception VideoX vs frame-interpolation Awesome-Dataset-Distillation vs bitsandbytes VideoX vs PeRFception Awesome-Dataset-Distillation vs MinVIS VideoX vs MinVIS Awesome-Dataset-Distillation vs Cold-Diffusion-Models