arer90 commited on
Commit
bb2b709
·
1 Parent(s): 3e81dee

readme_fix2

Browse files
Files changed (1) hide show
  1. README.md +9 -7
README.md CHANGED
@@ -20,20 +20,20 @@ library_name: tensorflow
20
  This repository presents a novel approach to predicting aqueous solubility of drug-like organic compounds using our Automated Network Optimizer (ANO) framework. By integrating advanced machine learning techniques with automated feature selection and hyperparameter optimization, we achieve state-of-the-art prediction accuracy for intrinsic solubility (logS).
21
 
22
  <div align="center">
23
- <a href="./result_prior/res1.png" target="_blank">
24
- <img src="./result_prior/res1.png" alt="Result 1" width="400" style="cursor: pointer;"/>
25
  </a>
26
  </div>
27
 
28
  <div align="center">
29
- <a href="./result_prior/res2.png" target="_blank">
30
- <img src="./result_prior/res2.png" alt="Result 2" width="400" style="cursor: pointer;"/>
31
  </a>
32
  </div>
33
 
34
  <div align="center">
35
- <a href="./result_prior/res3.png" target="_blank">
36
- <img src="./result_prior/res3.png" alt="Result 3" width="400" style="cursor: pointer;"/>
37
  </a>
38
  </div>
39
 
@@ -112,7 +112,9 @@ This repository presents a novel approach to predicting aqueous solubility of dr
112
  - Fast and efficient selections of chemical descriptors and hyperparameters in machine learning models
113
 
114
  <div align="center">
115
- <img src="result_prior/descriptors_list.png" alt="Chemical Descriptors List" width="400" style="cursor: pointer;" onclick="window.open(this.src)"/>
 
 
116
  </div>
117
 
118
  ## Model Availability
 
20
  This repository presents a novel approach to predicting aqueous solubility of drug-like organic compounds using our Automated Network Optimizer (ANO) framework. By integrating advanced machine learning techniques with automated feature selection and hyperparameter optimization, we achieve state-of-the-art prediction accuracy for intrinsic solubility (logS).
21
 
22
  <div align="center">
23
+ <a href="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/res1.png" target="_blank">
24
+ <img src="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/res1.png" alt="Result 1" width="400"/>
25
  </a>
26
  </div>
27
 
28
  <div align="center">
29
+ <a href="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/res2.png" target="_blank">
30
+ <img src="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/res2.png" alt="Result 2" width="400"/>
31
  </a>
32
  </div>
33
 
34
  <div align="center">
35
+ <a href="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/res3.png" target="_blank">
36
+ <img src="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/res3.png" alt="Result 3" width="400"/>
37
  </a>
38
  </div>
39
 
 
112
  - Fast and efficient selections of chemical descriptors and hyperparameters in machine learning models
113
 
114
  <div align="center">
115
+ <a href="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/descriptors_list.png" target="_blank">
116
+ <img src="https://huggingface.co/arer90/ANO_solubility_prediction/resolve/main/result_prior/descriptors_list.png" alt="Chemical Descriptors List" width="400"/>
117
+ </a>
118
  </div>
119
 
120
  ## Model Availability