Captum is an extensible library that provides general-purpose implementations for model interpretability in PyTorch. It aims to demystify complex machine learning models by offering several algorithms to analyze and understand model predictions. Captum includes a variety of methods such as feature ablation, integrated gradients, and others, which help researchers and developers to comprehend and improve their models.

Who will use captum.ai?

Data Scientists
Machine Learning Engineers
AI Researchers
Software Developers

How to use the captum.ai?

Step1: Install Captum using pip.
Step2: Import Captum in your PyTorch project.
Step3: Utilize the provided interpretability algorithms to analyze your models.
Step4: Visualize the results to gain insights.
Step5: Optimize your model based on the interpretability results.

Platform

web
mac
windows
linux

captum.ai's Core Features & Benefits

The Core Features of captum.ai

Feature Ablation
Integrated Gradients
Gradient Shap
Layer Conductance
Neurons Activation

The Benefits of captum.ai

Improve model transparency
Ease of debugging and fine-tuning
Enhanced model performance
Better understanding of feature importance
Support for multiple interpretability techniques

captum.ai's Main Use Cases & Applications

Analyzing neural networks
Improving model accuracy
Understanding feature importance
Enhancing model reliability
Conducting interpretability research

FAQs of captum.ai

What is Captum?

Captum is an open-source library designed for model interpretability in PyTorch.

How do I install Captum?

You can install Captum using pip with the command `pip install captum`.

What algorithms does Captum support?

Captum supports several algorithms such as feature ablation, integrated gradients, gradient shap, layer conductance, and neurons activation.

Is Captum free to use?

Yes, Captum is an open-source library and free to use.

Who can benefit from using Captum?

Data scientists, machine learning engineers, AI researchers, and software developers can benefit from using Captum.

Which platforms does Captum support?

Captum supports web, Linux, macOS, and Windows platforms.

Can Captum be used with models other than PyTorch?

Captum is specifically designed for use with PyTorch models.

Does Captum provide visualization tools?

Yes, Captum offers tools to visualize the interpretability results.

How does Captum help in understanding models?

Captum provides several interpretability techniques that help to explain and analyze model predictions, shedding light on how the models operate.

Where can I find Captum's documentation?

Captum's documentation is available on its official website and GitHub repository.

captum.ai Company Information

Website: https://captum.ai
Company Name: Captum
Support Email: NA
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Analytic of captum.ai

Visit Over Time

Monthly Visits

19.2k

Avg Visit Duration

00:01:35

Page Per Visit

2.08

Bounce Rate

44.68%

May 2024 - Jul 2024 All Traffic

Geography

Top 5 Regions

United States

39.05%

India

10.78%

Spain

9.19%

Germany

6.02%

Belgium

4.79%

May 2024 - Jul 2024 Worldwide Desktop Only

Traffic Sources Traffic Sources

52.98%

Direct

37.46%

Referrals

6.59%

Social

2.51%

Paid Referrals

0.38%

Mail

0.08%

May 2024 - Jul 2024 Desktop Only

Top Keywords

Keyword	Traffic	Cost Per Click
captum	5.3k	$ 2.52
tcav implementation in pytroch	80	$ --
gradientshap	550	$ --
captum gradient shap	190	$ --
captum pytorch	600	$ --

captum.ai's Main Competitors and alternatives?

LIME
SHAP
ELI5
Explainable Boosting Machine

captum.ai

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captum.ai Product Information

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