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#PyTorch

Released #Optuna v1.3.0! New experimental features including a faster CMA-ES sampler and hyperparameter importance assessment. The per-trial log is also improved. github.com/optuna/optuna/…

#MachineLearning #DeepLearning

Hyperparameter Search With #GPyOpt Part 1 – #Scikit-learn Classification and Ensembling machinelearningapplied.com/hyperparameter… #machinelearning #bayesianoptimization

Paper: A Tutorial on Bayesian Optimization – Frazier 2018 machinelearningapplied.com/paper-a-tutori… #Bayesianoptimization #machinelearning

2nd ed of my book, Advanced Deep Learning w/ TF2 & Keras, was released days before the global pandemic. Was excited to announce it but weeks of sad news sapped my energy. Announcing it now as a historical footnote. Hopefully, WFH & SFH still find useful. amzn.to/2wotTnN

Paper: CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations – Paul et al 2018 machinelearningapplied.com/paper-chemixne… #cheminformatics #chemoinformatics #machinelearning #deeplearning

Paper: Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery – Xu et al 2017 machinelearningapplied.com/paper-seq2seq-… #cheminformatics #chemoinformatics #machinelearning #deeplearning

Antimicrobial peptide generated by GAN. Passed in vitro validation. Twice as strong as ampicillin. Check out our preprint in ChemRxiv doi.org/10.26434/chemr…

Hyperparameter Search With #GPyOpt Part 2 – #XGBoost Classification and Ensembling machinelearningapplied.com/hyperparameter… #machinelearning #bayesianoptimization

Ebook: #DeepLearning for Toxicity and Disease Prediction – Gong, Zhang, Chen (eds) 2020 machinelearningapplied.com/ebook-deep-lea… #machinelearning #bioinformatics #cheminformatics

Numba 0.49.1 patch release is live! This fixes a number of reported issues. See details here: groups.google.com/a/continuum.io…

#Keras #DeepLearning

Hyperparameter Search With #GPyOpt Part 3 – #Keras (CNN) Classification and Ensembling machinelearningapplied.com/hyperparameter… #machinelearning #bayesianoptimization #deeplearning

DGL v0.5 has been released! A major update with a focus on better documentation, GNN kernels, distributed training and so on. Read the summary of highlights: dgl.ai/release/2020/0…

Compound Generator with Graph Networks, GraphINVENT #chemoinformatics #RDKit #PyTorch iwatobipen.wordpress.com/2020/08/29/com…

Fast #GPU Based #NearestNeighbors with #Faiss machinelearningapplied.com/fast-gpu-based… #MachineLearning

Finding Similar Stocks Via Fast #GPU Based #NearestNeighbors with #Faiss machinelearningapplied.com/finding-simila… #machinelearning

Paper: XPySom: High-Performance Self-Organizing Maps – Mancini et al 2020 machinelearningapplied.com/paper-xpysom-h… #MachineLearning #Som

Visualizing Correlations Among #Dow 30 #Stocks Via #NetworkX machinelearningapplied.com/visualizing-co…