yugimani/decode-repro-artifacts
66.7 MB
Yugender Subramanian
yugimani
·
AI & ML interests
None yet
Recent Activity
updated a collection 8 days ago
Reproduction: DeCoDe updated a collection 8 days ago
Reproduction: DeCoDe updated a collection 8 days ago
Reproduction: DeCoDeOrganizations
Reproduction: DeCoDe
ICML 2026 DeCoDe reproduction: logbook, bundle, benchmark input, and challenge metadata.
- Running
Reproduction: DeCoDe: Decoupling Binding Position and Molecular Conformation in 3D Ligand Diffusion for Structure-Based Drug Design
🎯Explore a research logbook and sync notes with an AI agent
-
yugimani/decode-repro-artifacts
66.7 MB -
GlowBond/CrossDocked2020
Updated • 61 -
ICML-2026-agent-repro/challenge
Updated • 34.7k • 1
Reproduction: DeCoDe
ICML 2026 DeCoDe reproduction: logbook, bundle, benchmark input, and challenge metadata.
- Running
Reproduction: DeCoDe: Decoupling Binding Position and Molecular Conformation in 3D Ligand Diffusion for Structure-Based Drug Design
🎯Explore a research logbook and sync notes with an AI agent
-
yugimani/decode-repro-artifacts
66.7 MB -
GlowBond/CrossDocked2020
Updated • 61 -
ICML-2026-agent-repro/challenge
Updated • 34.7k • 1
spaces 4
Running
Reproduction: DeCoDe: Decoupling Binding Position and Molecular Conformation in 3D Ligand Diffusion for Structure-Based Drug Design
🎯
Explore a research logbook and sync notes with an AI agent
Running
Reproduction: PDFBench: A Benchmark for De Novo Protein Design from Function
🎯
Explore a research logbook and sync findings with an AI agent
Running
Reproduction: MagicDock: Toward Docking-oriented De Novo Ligand Design via Gradient Inversion
🎯
Explore and collaborate on a research logbook online
Running
Repro: ICML 2026 paper #1871 — Towards Docking-oriented De Novo Ligand Design via Gradient Inversion
🎯
Browse research logbook and collaborate with your coding agent
models 0
None public yet
datasets 0
None public yet