lama
YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
Our great sponsors
| lama | YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow | |
|---|---|---|
| 17 | 1 | |
| 7,165 | 4 | |
| 3.7% | - | |
| 5.4 | 0.0 | |
| 3 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | - |
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.
lama
-
Can someone please help me with inpainting settings to remove the subject from this image? I want to rebuild as much of the original background as possible.
You could try to use ControlNet inpaint+lama locally, but results aren't as good in my experience. Or you could try local install of lama directly, but the setup process isn't very smooth.
-
[D] Which open source models can replicate wonder dynamics's drag'n'drop cg characters?
You may be able to remove the actor with lama. https://github.com/advimman/lama
-
ControlNet Update: [1.1.222] Preprocessor: inpaint_only+lama
LaMa: Resolution-robust Large Mask Inpainting with Fourier Convolutions (Apache-2.0 license) Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky (Samsung Research and EPFL)
-
[Inpainting] [Q] Want to remove a person/ group of people from an image.
You could try using LaMA: https://github.com/saic-mdal/lama .
-
[task] Python developer for two tasks, one 30$ the other 50$
Task 1: 30$ Write a script to prepare data for https://github.com/saic-mdal/lama. You should be able to prove on video that your script works properly after i give you some data and you train and there's some acceptable output (not perfect, since i know how ml works).
-
Research Topics for Master/PHD
I have some interest in image inpainting, but the recent paper introduced by Samsung - https://github.com/saic-mdal/lama seems like it reached a stage where there isn't much room that we can add for novelty. I am quite interested but not confident if I can come up with a novel idea that can do better than the proposed model, especially if they trained the model on multiple GPUs for days, which is something that I don't have.
- The Black Hole Photographs: Censored Images from America’s Great Depression
- Image inpainting tool powered by LaMa
- Resolution-Robust Large Mask Inpainting with Fourier Convolutions
-
[D] Paper Explained - Resolution-robust Large Mask Inpainting with Fourier Convolutions (w/ Author Interview)
Code: https://github.com/saic-mdal/lama
YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
-
Your Path to Deep Learning
Workshop 2 Resources
What are some alternatives?
IOPaint - Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
NST-AI-to-create-art - NST was first introduced in 2015 paper it took advantage of how convolution neural network works to generate art
Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.
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.
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras - Build a recurrent neural network using TensorFlow and Keras.
cleanup.pictures - Code for https://cleanup.pictures
YPDL-Build-a-movie-recommendation-engine-with-TensorFlow - In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks
YPDL-SentimentAnalysis-LR - While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first session of Your Path to Deep Learning.
dl-colab-notebooks - Try out deep learning models online on Google Colab