| mims-harvard/TDC |
889 |
|
0 |
4 |
over 2 years ago |
32 |
January 27, 2023 |
34 |
mit |
Jupyter Notebook |
| Therapeutics Data Commons: Artificial Intelligence Foundation for Therapeutic Science |
| samsinai/FLEXS |
112 |
|
0 |
0 |
about 3 years ago |
9 |
January 21, 2021 |
31 |
apache-2.0 |
Jupyter Notebook |
| Fitness landscape exploration sandbox for biological sequence design. |
| oracle-devrel/leagueoflegends-optimizer |
70 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
upl-1.0 |
Jupyter Notebook |
| League of Legends Optimizer - Learn Artificial Intelligence with Gaming |
| oracle/accelerated-data-science |
65 |
|
0 |
0 |
about 2 years ago |
0 |
|
12 |
upl-1.0 |
Python |
| ADS is the Oracle Data Science Cloud Service's python SDK supporting, model ops (train/eval/deploy), along with running workloads on Jobs and Pipeline resources. |
| oracle/guardian-ai |
29 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
upl-1.0 |
Python |
| Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets. |
| ogreyesp/JCLAL |
21 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
gpl-3.0 |
Java |
| JCLAL is a general purpose framework developed in Java for Active Learning. |
| IlyaGusev/gazeta |
19 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Python |
| Gazeta: Dataset for automatic summarization of Russian news |
| milangritta/Geocoding-with-Map-Vector |
18 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Resources for the ACL 2018 publication "Which Melbourne? Augmenting Geocoding with Maps", published in July 2018. |
| oracle/oci-mlflow |
18 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
upl-1.0 |
Python |
| The Oracle Cloud Infrastructure (OCI) MLflow plugin empowers users of OCI by providing seamless integration with OCI resources, allowing them to effectively manage the entire life cycle of their machine learning use cases. |
| oracle-samples/automlx |
16 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
upl-1.0 |
|
| This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs. |
