We apply machine learning to bioinformatics, cheminformatics, baseball data, baseketball data, and more.
Joined November 2019
- Tweets 106
- Following 36
- Followers 187
- Likes 0
Photos and videos
21 Dec 2020
1
4
21 Nov 2020
Paper: XPySom: High-Performance Self-Organizing Maps – Mancini et al 2020 machinelearningapplied.com/p… #MachineLearning #Som
1
1
17 Nov 2020
Finding Similar Stocks Via Fast #GPU Based #NearestNeighbors with #Faiss machinelearningapplied.com/f… #machinelearning
12 Nov 2020
Machine Learning Applied retweeted
29 Aug 2020
Compound Generator with Graph Networks, GraphINVENT #chemoinformatics #RDKit #PyTorch iwatobipen.wordpress.com/202…
1
15
54
Machine Learning Applied retweeted
27 Aug 2020
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/2020/08/26/re…
3
29
87
26 Aug 2020
Hyperparameter Search With #GPyOpt Part 3 – #Keras (CNN) Classification and Ensembling machinelearningapplied.com/h… #machinelearning #bayesianoptimization #deeplearning
Machine Learning Applied retweeted
8 May 2020
Numba 0.49.1 patch release is live! This fixes a number of reported issues. See details here: groups.google.com/a/continuu…
1
6
9 May 2020
8 May 2020
Keras has a new website, which includes a 100% refreshed list of developer guides and code examples.
keras.io
28 Apr 2020
Ebook: #DeepLearning for Toxicity and Disease Prediction – Gong, Zhang, Chen (eds) 2020 machinelearningapplied.com/e… #machinelearning #bioinformatics #cheminformatics
1
21 Apr 2020
Hyperparameter Search With #GPyOpt Part 2 – #XGBoost Classification and Ensembling machinelearningapplied.com/h… #machinelearning #bayesianoptimization
Machine Learning Applied retweeted
13 Apr 2020
Antimicrobial peptide generated by GAN. Passed in vitro validation. Twice as strong as ampicillin. Check out our preprint in @ChemRxiv doi.org/10.26434/chemrxiv.12…
11
28
9 Apr 2020
Paper: Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery – Xu et al 2017 machinelearningapplied.com/p… #cheminformatics #chemoinformatics #machinelearning #deeplearning
7 Apr 2020
Paper: CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations – Paul et al 2018 machinelearningapplied.com/p… #cheminformatics #chemoinformatics #machinelearning #deeplearning
1
Machine Learning Applied retweeted
5 Apr 2020
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
1
5
3 Apr 2020
Paper: A Tutorial on Bayesian Optimization – Frazier 2018 machinelearningapplied.com/p… #Bayesianoptimization #machinelearning
2
3 Apr 2020
Hyperparameter Search With #GPyOpt Part 1 – #Scikit-learn Classification and Ensembling machinelearningapplied.com/h… #machinelearning #bayesianoptimization
3
2 Apr 2020
2 Apr 2020
A new release v0.4.3 is out! This includes TensorFlow support; DGL-KE and DGL-LifeSci, two packages for knowledge graph embedding and chemi- and bio-informatics respectively; Graph sampling on heterograph, with multi-GPU acceleration. Blogpost is here: dgl.ai/release/2020/04/01/re…
Machine Learning Applied retweeted
2 Apr 2020
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/rel…
21
36
30 Mar 2020
30 Mar 2020
torchlayers: an interesting new abstraction layer API on top of PyTorch, which is basically an "Sequential" object w/o the need to call it in the forward method. And, more interestingly, it performs automatic dimensionality and shape deduction: github.com/szymonmaszke/torc…