super-gradients VS SegGradCAM

Compare super-gradients vs SegGradCAM and see what are their differences.

SegGradCAM

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (by kiraving)
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super-gradients SegGradCAM
8 1
4,343 94
1.6% -
9.5 4.2
6 days ago 8 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

super-gradients

Posts with mentions or reviews of super-gradients. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-13.

SegGradCAM

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

What are some alternatives?

When comparing super-gradients and SegGradCAM you can also consider the following projects:

ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation

highstorm - Open Source Event Monitoring

OmniXAI - OmniXAI: A Library for eXplainable AI

openvino_notebooks - 📚 Jupyter notebook tutorials for OpenVINO™

STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences

pyvideotrans - Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言,并添加配音

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

Detic - Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Discord-Chatbot-Gpt4Free - This is a Discord Chatbot with image detection, OCR, internet access and DALL-E image generation for free [Moved to: https://github.com/mishalhossin/Discord-AI-Chatbot]

diffusers-interpret - Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.