Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
Pytorch-grad-cam Alternatives
Similar projects and alternatives to pytorch-grad-cam
-
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
-
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.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
pytorch-lightning
Discontinued 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] (by PyTorchLightning)
-
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
-
-
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
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
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.
-
pytorch-grad-cam reviews and mentions
-
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
-
A note from our sponsor - InfluxDB
www.influxdata.com | 18 Apr 2024
Stats
jacobgil/pytorch-grad-cam is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of pytorch-grad-cam is Python.
Popular Comparisons
- pytorch-grad-cam VS Transformer-Explainability
- pytorch-grad-cam VS pytorch-lightning
- pytorch-grad-cam VS pytorch-CycleGAN-and-pix2pix
- pytorch-grad-cam VS tf-keras-vis
- pytorch-grad-cam VS Transformer-MM-Explainability
- pytorch-grad-cam VS pytorch-tutorial
- pytorch-grad-cam VS Real-Time-Voice-Cloning
- pytorch-grad-cam VS EasyOCR
- pytorch-grad-cam VS pytorch-lightning
- pytorch-grad-cam VS XAI