Machine-Learning
pytorch-grad-cam
| Machine-Learning | pytorch-grad-cam | |
|---|---|---|
| 2 | 5 | |
| 86 | 9,483 | |
| - | - | |
| 3.4 | 5.0 | |
| 5 months ago | 8 days ago | |
| Python | Python | |
| - | MIT License |
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.
Machine-Learning
-
I published a Free & Open Source book to Learn Python 3. It includes a nice website for online reading and PDF for offline reading. Any feedback is highly appreciated.
Thank you for sharing! Am I the only one who never learned tu-ples, lists, dictionaries, arrays and so on yet able to write some rather sophisticated Python code without really understanding the data structures that I use? See my GitHub repository at https://github.com/VincentGranville/Machine-Learning, full of Python code. I play with data structures the same way I play with grammar in English: I do it successfully, without knowing the rules or the inner workings.
-
My New Machine Learning Dictionary: Which Terms Would You Add?
Top entries are in bold, and sub-entries are in italics. This dictionary is from my new book “Intuitive Machine Learning and Explainable AI”, available here and used as reference material for the course with the same name (see here). These entries are cross-referenced in the book to facilitate navigation, with backlinks to the pages where they appear. The index, also with clickable backlinks, is a more comprehensive listing with 300+ terms. Both the glossary and index are available in PDF format here on my GitHub repository, and of course with clickable links within the book.
pytorch-grad-cam
-
Exploring GradCam and More with FiftyOne
For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.
-
Which layers are doing image segmentation on AutoEncoders/U-NET?
https://github.com/jacobgil/pytorch-grad-cam.
-
[D] Algorithm for view prediction?
I know I would like to use grad-CAM https://github.com/jacobgil/pytorch-grad-cam
-
[P] Adapting Class Activation Maps for Object Detection and Semantic Segmentation
https://github.com/jacobgil/pytorch-grad-cam is a project that has a comprehensive collection of Pixel Attribution Methods for PyTorch (like the package name grad-cam that was the original algorithm implemented).
- [Project] Recent Class Activation Map Methods for CNNs and Vision Transformers
What are some alternatives?
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
tf-keras-vis - Neural network visualization toolkit for tf.keras
Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
XAI - Genetic programming method for explaining complex black-box models
dino-vit-features - Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.