Democratizing Drug Discovery, Quantum Chemistry and the Sciences with Deep Learning
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Fernando Schimidt
@Schimidt99
Anyone have an idea how to solve this?
Ashwin Murali
@Suzukazole
@Schimidt99 could you check if you have transformers installed?
Fernando Schimidt
@Schimidt99
yes, before starting the tests I installed "transformers":
pip install transformers
from transformers import RobertaTokenizerFast, BatchEncoding, BertTokenizer from tokenizers import Encoding
I work at Google Colab
Fernando Schimidt
@Schimidt99
Now, I understood that I need to install some virtual environment to work with USPTO database, for Google Colab. There are no hints about this in "https://deepchem.readthedocs.io/" Does anyone here have any tips?
I'm waiting for someone to let me in. Time - Thursday 7.30 PM PST. Friday 9.00 AM IST
Bharath Ramsundar
@rbharath
Yes there was OH today
OH is at 7:00 pm PST, the developer call is at 7:30 pm PST
I think you may have gotten the calls mixed up, sorry!
There will be OH tomorrow at 9:00am PST / 10:30pm IST
Can you make it then?
_
Balaji
@BalajiAI_twitter
No problem. yes the OH timeline is quite confusing to me. Ok, I'll join tomorrow then.
Bharath Ramsundar
@rbharath
I’m running a bit late for the deepchem dev call today so may be 15 minutes late
Balaji
@BalajiAI_twitter
@rbharath I'm confused again. Since you're in PST time zone, you said to join tomorrow. But in ist, it is still today.
Ok. I'll mail you to add me to OH hours meeting. Otherwise I'll still be confused.
Bharath Ramsundar
@rbharath
Sounds good! It can get a little confusing across time zones for sure
Balaji
@BalajiAI_twitter
Ah, yes!
Bharath Ramsundar
@rbharath
Running 5minutes late to OH
Balaji
@BalajiAI_twitter
I've been trying to install deepchem from source. But it shows MS Visual C++ is needed. But I aldready installed - MS Visual C++ Redistributable. Both are same right?
Sorry have a scheduling conflict so I don’t think I can make OH today. Back as usual tomorrow
Bharath Ramsundar
@rbharath
Still out so won't be at OH / dev call today. Back as usual tomorrow
Bharath Ramsundar
@rbharath
Running a few minutes late
Bharath Ramsundar
@rbharath
No office hours or meetings for the rest of this week for Thanksgiving. Happy Thanksgiving to everyone!
fnthibaud
@fnthibaud
Hi all, I'm new to deepchem so I have a noob question. I wanted to train a deep learning model on the QM9 dataset so I started with a DTNN model with the same hyperparamters as in the qm9_DTNN.py example. This got me very poor pearson r2 scores, but I saw in issue #2475 on github that this might be a bug related to that type of model. However, after trying to train a GraphConv model on it this only gave me slightly better results (~0.33 pearson_r2 after 100 epochs). I used the default hyperparameters for the GraphConv model. Does anyone know if this can be resolved by hyperparameter tuning and if so, can you give me some advice on how to do this?
Bharath Ramsundar
@rbharath
Sorry for the late notice, but I just realized I can’t make OH today. Will be back as usual tomorrow
Bharath Ramsundar
@rbharath
@fnthibaud Try using simpler models (say RF + Coulomb fingerprints) to start and see how that does
Bharath Ramsundar
@rbharath
Running 10 minutes late to OH
Bharath Ramsundar
@rbharath
My apologies for the late notice but I can't make oh today. Will be back as usual tomorrow!
Cretaceous
@cretaceousmart
Hi everyone. I wonder if there is an API in Deepchem that allows me to obtain a fingerprint of a drug structure?
Since I want to create a new dataset that is outside of deepchem :)
Bharath Ramsundar
@rbharath
@cretaceousmart There isn't an API but you can write a script to fingerprint compounds yourself and set up a server