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By k-dense-ai

pytdc

k-dense-ai

Explore therapeutic data with safer, reproducible workflows.

therapeutic machine learning

What it does

Enables discovery, approved data access, splitting, evaluation, benchmarking, and bounded molecular-oracle workflows for therapeutic machine learning.

When to use it

Use when discovering therapeutic ML tasks, loading approved datasets, evaluating predictions, or working with benchmark groups.

How to use it

Give it a therapeutic machine-learning request; it runs the applicable discovery, data, evaluation, benchmark, or oracle workflow with bounded project outputs.

Uses


Access · 8

This skill

remote/docking oracles

Write

Sends molecules to oracle services

Harvard Dataverse

Read

Downloads data from Harvard Dataverse

supported oracle checkpoints

Read

Downloads supported oracle checkpoints

dataset task pages and source terms

Read

Reads dataset licensing terms

Good to know

  • advertises something the task does not need

What you need · 4

Requires uv to create the environment and run the pinned packages.

Requires an isolated CPython 3.11 environment.

Requires the reviewed PyTDC 1.1.15 package snapshot.

Requires setuptools 80.9.0 because PyTDC imports the legacy pkg_resources module at runtime.


About this skill

Visibility
Public
Repository
k-dense-ai/scientific-agent-skills
Created
Oct 8, 2026
Updated
Oct 8, 2026
Files
11