xi-method VS pytorch-grad-cam

Compare xi-method vs pytorch-grad-cam and see what are their differences.

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xi-method pytorch-grad-cam
1 5
5 9,570
- -
8.5 5.0
8 months ago 1 day ago
Python Python
MIT License 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.

xi-method

Posts with mentions or reviews of xi-method. We have used some of these posts to build our list of alternatives and similar projects.

pytorch-grad-cam

Posts with mentions or reviews of pytorch-grad-cam. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-13.

What are some alternatives?

When comparing xi-method and pytorch-grad-cam you can also consider the following projects:

TalkToModel - TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

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".