Advancing Predictive ADMET Modeling Through Community-Driven Science: The ExpansionRx-OpenADMET Blind Challenge
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#12 opened 11 days ago
by
evijit
evijit
updated
a
Space
11 days ago
cgeorgiaw
updated
a
collection
14 days ago
Article
Advancing Predictive ADMET Modeling Through Community-Driven Science: The ExpansionRx-OpenADMET Blind Challenge
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and 1 other
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•
12
cgeorgiaw
updated
a
dataset
16 days ago
SelmaNajih001
posted
an
update
17 days ago
Post
2775
How Financial News Can Be Used to Train Good Financial Models 📰
Numbers tell you what happened, but news tells you why.
I’ve written an article explaining how news can be used to train AI models for sentiment analysis and better forecasting. Hope you find it interesting!
Read it here: https://huggingface.co/blog/SelmaNajih001/llms-applied-to-finance
I would love to read your opinions! I’m open to suggestions on how to improve the methodology and the training
Numbers tell you what happened, but news tells you why.
I’ve written an article explaining how news can be used to train AI models for sentiment analysis and better forecasting. Hope you find it interesting!
Read it here: https://huggingface.co/blog/SelmaNajih001/llms-applied-to-finance
I would love to read your opinions! I’m open to suggestions on how to improve the methodology and the training
- 1 reply
cgeorgiaw
updated
a
collection
17 days ago
SelmaNajih001
posted
an
update
18 days ago
Post
3001
Which is the best model to use as a signal for investment?
Here who is gaining the most:
SelmaNajih001/InvestmentStrategyBasedOnSentiment
The Space uses titles from this dataset:
📊 SelmaNajih001/Cnbc_MultiCompany
Given a news title, it calculates a sentiment score : if the score crosses a certain threshold, the strategy decides to buy or sell.
Each trade lasts one day, and the strategy then computes the daily return.
For Tesla the best model seems to be the regression 👀
Just a quick note: the model uses the closing price as the buy price, meaning it already reflects the impact of the news.
Here who is gaining the most:
SelmaNajih001/InvestmentStrategyBasedOnSentiment
The Space uses titles from this dataset:
📊 SelmaNajih001/Cnbc_MultiCompany
Given a news title, it calculates a sentiment score : if the score crosses a certain threshold, the strategy decides to buy or sell.
Each trade lasts one day, and the strategy then computes the daily return.
For Tesla the best model seems to be the regression 👀
Just a quick note: the model uses the closing price as the buy price, meaning it already reflects the impact of the news.
Article
Promoter-GPT: Writing DNA Instructions with Language Models
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22"A curated collection of datasets... for... drug development"?
1
#4 opened 26 days ago
by
qpqpqpqpqpqp
cgeorgiaw
updated
a
Space
21 days ago
cgeorgiaw
published
a
dataset
22 days ago
cgeorgiaw
published
a
Space
22 days ago
SelmaNajih001
posted
an
update
24 days ago
Post
665
How Financial News Can Be Used to Train Good Financial Models 📰
Numbers tell you what happened, but news tells you why.
I’ve written an article explaining how news can be used to train AI models for sentiment analysis and better forecasting. Hope you find it interesting!
Read it here: https://huggingface.co/blog/SelmaNajih001/llms-applied-to-finance
I would love to read your opinions! I’m open to suggestions on how to improve the methodology and the training
Numbers tell you what happened, but news tells you why.
I’ve written an article explaining how news can be used to train AI models for sentiment analysis and better forecasting. Hope you find it interesting!
Read it here: https://huggingface.co/blog/SelmaNajih001/llms-applied-to-finance
I would love to read your opinions! I’m open to suggestions on how to improve the methodology and the training
- 1 reply
ludocomito
published
an
article
25 days ago
Article
AI for Food Allergies
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and 3 others
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28Possible to add Acceleration Consortium?
1
#10 opened about 1 month ago
by
sgbaird
UniverseTBD is missing :)
1
#11 opened about 1 month ago
by
Smith42
Davegd
updated
a
dataset
26 days ago
Davegd
published
a
dataset
26 days ago