Results for “maccs”
18 skillsmolfeat
Convert chemical structures (SMILES or RDKit molecules) into numerical representations for machine learning using 100+ featurizers, including ECFP, MACCS, descriptors, and pretrained models like ChemBERTa.
30.2k · bundle
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
3 · bundle
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
0 · bundle
More results
molfeat
Featurização molecular para ML (100+ featurizadores). ECFP, MACCS, descritores, modelos pré-treinados (ChemBERTa), converter SMILES em features, para QSAR e ML molecular.
10 · bundle
seatbelt-sandboxer
Generates minimal macOS Seatbelt sandbox configurations to isolate and restrict applications with allowlist-based profiles.
6k · bundle
macos-platform-extension
Use when an installed-client change has a confirmed macOS target and changes Apple desktop platform behavior.
4 · bundle
macbook-optimizer
💻 MacBook Optimizer
1 · bundle
imessage
Send and receive iMessages/SMS via the imsg CLI on macOS.
3
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
228
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
0
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
0
omc-teams
CLI-team runtime for claude, codex, gemini, antigravity, grok, or cursor workers in tmux panes when you need process-based parallel execution
1
matchms
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
0 · bundle
imessage
Send and receive iMessages/SMS via the imsg CLI on macOS.
0
imessage
Send and receive iMessages/SMS via the imsg CLI on macOS.
0 · bundle
users
Skill for the Users area of paddock. 45 symbols across 12 files.
11
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
0 · bundle
molfeat
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
5 · bundle