AI Grant VS Captum · Model Interpretability for PyTorch
Compare AI Grant VS Captum · Model Interpretability for PyTorch, what is the difference between AI Grant and Captum · Model Interpretability for PyTorch?
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Summarize
AI Grant summarize
AI Grant Landing Page
Captum · Model Interpretability for PyTorch summarize
Captum · Model Interpretability for PyTorch Landing Page
Compare Details
AI Grant details
| Categories | AI Code Assistant |
| AI Grant Website | https://aigrant.org |
| Added Time | December 25 2023 |
| AI Grant Pricing | -- |
Captum · Model Interpretability for PyTorch details
| Categories | AI Developer Docs, AI Developer Tools, AI Code Assistant |
| Captum · Model Interpretability for PyTorch Website | https://captum.ai |
| Added Time | April 07 2024 |
| Captum · Model Interpretability for PyTorch Pricing | -- |
Comparison of usage
How to use AI Grant?
Sorry, there are no data
How to use Captum · Model Interpretability for PyTorch?
Install the Captum library, create and prepare your model, define input and baseline tensors, select an interpretability algorithm, and apply it to your model.
Compare Pros between AI Grant and Captum · Model Interpretability for PyTorch
Core features of AI Grant
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Core features of Captum · Model Interpretability for PyTorch
- Multi-Modal
- Built on PyTorch
- Extensible
Compare Use Cases
Use cases for AI Grant
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Use cases for Captum · Model Interpretability for PyTorch
- Interpretability research
AI Grant's traffic
AI Grant is the one with 18.1K monthly visits and 00:00:53 Avg.visit duration. AI Grant has a Page per visit of 1.11 and a bounce rate of 60.72%.
Visit Over Time
| Monthly Visits | 18.1K |
| Avg·visit Duration | 00:00:53 |
| Page per Visit | 1.11 |
| Bounce Rate | 60.72% |
Captum · Model Interpretability for PyTorch's traffic
Captum · Model Interpretability for PyTorch is the one with 48.5K monthly visits and 00:09:37 Avg.visit duration. Captum · Model Interpretability for PyTorch has a Page per visit of 3.82 and a bounce rate of 33.31%.
Visit Over Time
| Monthly Visits | 48.5K |
| Avg·visit Duration | 00:09:37 |
| Page per Visit | 3.82 |
| Bounce Rate | 33.31% |
Geography
The top 5 countries/regions for AI Grant are:United States 65.27%, Indonesia 4.23%, India 3.40%, Colombia 2.90%, Mexico 2.50%
Top 5 Countries/regions
 | 65.27% |
 | 4.23% |
 | 3.40% |
 | 2.90% |
 | 2.50% |
Geography
The top 5 countries/regions for Captum · Model Interpretability for PyTorch are:United States 26.62%, Korea 20.12%, Switzerland 8.63%, Italy 5.59%, Singapore 5.21%
Top 5 Countries/regions
| 26.62% |
 | 20.12% |
 | 8.63% |
 | 5.59% |
 | 5.21% |
Traffic Sources
The 6 main sources of traffic to AI Grant are: Search 67.54%, Direct 18.55%, Referrals 13.38%, Social 0.53%, Mail 0.00%, Display Ads 0.00%
Search | 67.54% |
Direct | 18.55% |
Referrals | 13.38% |
Social | 0.53% |
Mail | 0.00% |
Display Ads | 0.00% |
Traffic Sources
The 6 main sources of traffic to Captum · Model Interpretability for PyTorch are: Search 49.51%, Direct 32.59%, Referrals 9.75%, Mail 5.05%, Social 3.11%, Display Ads 0.00%
Search | 49.51% |
Direct | 32.59% |
Referrals | 9.75% |
Mail | 5.05% |
Social | 3.11% |
Display Ads | 0.00% |
Which is better: AI Grant or Captum · Model Interpretability for PyTorch?
Captum · Model Interpretability for PyTorch might be a bit more popular than AI Grant.As you can see, AI Grant has 18.1K monthly visits, while Captum · Model Interpretability for PyTorch has 48.5K monthly visits. So more people choose Captum · Model Interpretability for PyTorch. So the odds are that people will recommend Captum · Model Interpretability for PyTorch more on social platforms.
AI Grant has an Avg.visit duration of 00:00:53, while Captum · Model Interpretability for PyTorch has an Avg.visit duration of 00:09:37. Also, AI Grant has a page per visit of 1.11 and a Bounce Rate of 60.72%. Captum · Model Interpretability for PyTorch has a page per visit of 3.82 and a Bounce Rate of 33.31%.
The main users of AI Grant are United States, Indonesia, India, Colombia, Mexico, with the following distribution: 65.27%, 4.23%, 3.40%, 2.90%, 2.50%.
The main users of Captum · Model Interpretability for PyTorch are United States, Korea, Switzerland, Italy, Singapore, with the following distribution: 26.62%, 20.12%, 8.63%, 5.59%, 5.21%.
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