-
code:
import torch
import transformers
from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments
import pyreft
from huggingface_hub import login
login(token="***")
model_n…
-
Do you have any idea regarding what kind of information the neural descriptors at each point represent?
I've read the paper but it was not that clear about the information that are learned in thes…
-
Please reply here if you are interested in taking over maintenance of this package on github and crates.io, cheers.
-
sorry, I cannot run the demo you provide. In test_arguments.py, from pkl_dataset.transform_cfg import transforms_test_options, transforms_list seems not exist in your source codes. Thanks for your at…
-
```markdown
### Linear Models and Least Squares
Given a vector of inputs $X^T=(X_1, X_2, \ldots, X_p)$, we predict output $Y$ via the model
$$
\hat{Y} = \hat{\beta}_0 + \sum_{j=1}^p X_j \hat{\be…
-
Write simple summary of papers you read, and how can it helps our project.
What you must read in paper
1. What is target problem, what is model they used.
2. Background and Related Work
-
https://arxiv.org/abs/1603.07810
https://tech.ebayinc.com/research/interactive-visual-search/
-
**Proceedings**
https://papers.nips.cc/book/advances-in-neural-information-processing-systems-30-2017
https://github.com/catpanda/NIPS_2017
**PaperLists (#Papers 679)**
https://www.dropbox.com/s…
-
# On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence
On the principles of Parsimony and Self-consistency for the emergence of intelligence [[paper](https://link.s…
-
Hello, do you have relevant data files?