-
Can you explain a little bit more about how to convert .off to .obj ?
I'm trying to use other dataset ( [Princeton Segmentation Benchmark](https://segeval.cs.princeton.edu/public/Download/MeshsegBen…
-
In order to understand more about influence of Parameters, Hyper-Parameters and Input Dataset on a Machine-Learning Model, following Graphs are important : -
1. Loss v/s Number of Iterations.
2. B…
-
# nitdoc - Abstraction levels
## TODO
- [ ] **Various levels of abstraction**
Clients require a high level of abstraction to understand the content and goals of an API.
Based on the reader expe…
-
```mermaid
mindmap
root((Doing a Lesson))
Plan Lesson
Decide LOs
'I Do You Do We Do' Model
Universal Design for Learning
semantic waves
Lesson Elements
…
-
CVPR 2022
#
格式
* **Paper Title**
*Author(s)*
CVPR, 2022. [[Paper]](link) [[Code]](link) [[Website]](link)
需要填充：
1）Paper Title
2） Author(s)
3） 3个“link”
4）两篇文章之间间隔一行
# agent
Meta Ag…
yyf17 updated
2 years ago
-
Hello, developer. I have some questions. I am unable to reuse your simulation settings. What software should I use to obtain personal optical network topology (nsfnet.gml)? Or, how can I obtain real n…
-
### Title
Biomarker Ontology
### Short Description
The Biomarker Ontology comprises a comprehensive knowledge involving a variety of fields of medical and biological aspects.
### Descri…
-
There are many ways in which, given a (weighted) collection of linear terms, we can generate weighted graphs. Namely, we traverse based on:
- combinations of terms: function application, lambdas etc.
…
-
[deeplearning.docx](https://github.com/ssfc/machine-learning/files/3323819/deeplearning.docx)
-
Graph generative models are important for the tasks we have been describing.
The core idea is to posit a model which defines some distribution over graphs ```P(G)```, for instance via a low dimensi…