GitHub

Marziah02/Final_Projects_Machine_Learning_Batch_22

a.Predicting Customer Credit Mix - End-to-End Machine Learning Workflow This file focuses on implementing an end-to-end Machine Learning workflow to predict a customer's credit mix. Importing ...
eLife

Deep Batch Active Learning for Drug Discovery

This valuable study reports novel active learning batch selection methods that have been applied to optimization tasks related to ADMET and affinity properties relevant within the drug discovery field ...
GitHub

Batch Normalization in Neural Networks.md

Batch Normalization is a technique used in neural networks to normalize the inputs of each layer. It helps improve training speed, stability, and generalization. This process involves normalizing the ...
eLife

Deep Batch Active Learning for Drug Discovery

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
Microsoft

SPIBB-DQN: Safe Batch Reinforcement Learning with Function Approximation

We consider Safe Policy Improvement (SPI) in Batch Reinforcement Learning (Batch RL): from a fixed dataset and without direct access to the true environment, train a policy that is guaranteed to ...
marktechpost

MIT Researchers Unveil InfoCORE: A Machine Learning Approach to Overcome Batch Effects in High-Throughput Drug Screening

Recent studies have shown that representation learning has become an important tool for drug discovery and biological system understanding. It is a fundamental component in the identification of drug ...
Top

IIT Delhi Launches Fourth Batch of Certificate Programme in Machine Learning and Deep Learning

The Indian Institute of Technology Delhi (IIT Delhi) has announced the launch of the fourth batch of its highly sought-after certificate programme in Machine Learning and Deep Learning. This six-month ...