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* [The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time.](https://jalammar.github.io/illustrated-gpt2/)
* [完全图解GPT-2:看完…
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Hi,
I'm trying to run the default script in main.py using LIBERO.
```
import os
os.environ["TOKENIZERS_PARALLELISM"] = "false"
import sys
import json
import multiprocessing
import ppri…
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## 0. 論文
[Multitask Parsing Across Semantic Representations](https://arxiv.org/abs/1805.00287v1)
Daniel Hershcovich, Omri Abend, Ari Rappoport
## 1. どんなもの?
複数のSemantic parsingタスクをマルチタスク学習することで精度…
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Hi Sir,
You have 4 models ( RetinaFace, Mask, Arcface & AntiSpoofing ) running over single video.
1.] What exactly is this method of running multiple models known as?
2.] Is there any docume…
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## 집현전 중급반 스터디
- 2022년 4월 24일 일요일 9시
- 윤세휘님 최혜림님 설지우님 정민지님 발표
- 논문 링크: https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf
> ### Ab…
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Radford, Alec, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019. [“Language models are unsupervised multitask learners.”](https://cdn.openai.com/better-language-models/langu…
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[迁移学习:将所有的图片交给 VGG16,利用 VGG16 的深度网络结构中的五轮卷积网络层和池化层,对每张图片得到一个 4096 维的特征向量,然后我们直接用这个特征向量替代原来的图片,再加若干层全连接的神经网络,在花朵特征向量集和花朵标签集上进行训练。本质上,我们是将 VGG16 作为一个图片特征提取器,然后在此基础上再进行一次普通的神经网络学习,这样就将原先的 244 * 224 * 3 维…
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## 🐛 Bug
AttributeError: module 'deepchem.models' has no attribute 'MultiTaskClassifier'
## To Reproduce
Steps to reproduce the behavior:
1. pip install --pre deepchem[torch]
2. import …
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Kinetic discriminatory metric learning: http://pubs.acs.org/doi/abs/10.1021/ct400132h
Questions:
- Can any aspects of the learned distance metric generalize across protein examples?
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https://doi.org/10.1021/acscentsci.6b00367 (preprint https://arxiv.org/abs/1611.03199)
> Recent advances in machine learning have made significant contributions to drug discovery. Deep neural netwo…