ml-course
IJCAI2023-CoNR
| ml-course | IJCAI2023-CoNR | |
|---|---|---|
| 8 | 4 | |
| 2,059 | 786 | |
| 2.4% | 0.9% | |
| 2.4 | 5.5 | |
| 3 days ago | 9 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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ml-course
IJCAI2023-CoNR
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CharTurner - A work in progress resource for character artists.
Maybe, or maybe not
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Create an animation with a character sheet?
I wanted to know if anyone has created an animation with a character sheet using this project. It has a Google colab and says it can accept a 2d character sheet and a video and output an animation. I know the popular CharTurner embedding has been floating around and I wonder if anyone has made the attempt at it.
- "3Dキャラクターのダンス動画"を自動生成できる中国産AIがgithubで公開され話題に
- Render dancing videos from hand-drawn anime images
What are some alternatives?
pytorch-implementations - A collection of paper implementations using the PyTorch framework
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.
glasses - High-quality Neural Networks for Computer Vision 😎
TabularSemanticParsing - Translating natural language questions to a structured query language
open_clip - An open source implementation of CLIP.
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
diffusers-interpret - Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.