ai4science
There are 133 repositories under ai4science topic.
DiffAffinity
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)
KG4SL
Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.
3D-EMGP
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
oml
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
EGHN
[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
Gode
[AAAI'25] Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
SciMuse
Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
PiFlow
[preprint] PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration
GenoTEX
GenoTEX: A multi-task benchmark for LLM agentic methods in automated gene expression data analysis.
UniDL4BioPep
webserver
HEPT
[ICML 2024 Oral] LSH-Based Efficient Point Transformer (HEPT)
LucaVirusTasks
The project of the downstream tasks based on LucaVirus.
position_induced_transformer
PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
Multimodal-Symbolic-Regression
[ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining
Libra
[ACL 2025] ⚖️ Temporally-aware MLLM for Biomedical Radiology Analysis and Report Generation. Flexible toolkit with LLM backbone support, real-time validation, training resumption, and smart model saving.
cMolGPT
GPT (Generative Pre-trained Transformer) for de novo molecular design by enforcing specified targets
PSE
Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.
SL_benchmark
Benchmarking study of machine learning methods for prediction of synthetic lethality
ChemXploreML
Machine learning desktop application for molecular property prediction and analysis
AAAR-1.0
The source code for running LLMs on the AAAR-1.0 benchmark.
Parity
Deep Learning Potential model with Symmetry Invariant and Equivariant Descriptor
OUC-HW-Survial-Guidance
OUC&HW计科中外“宝宝”👶生存指南
liveideabench
🤖💡 LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context
battery_phm
Algorithms for Battery Mangerment System
floGen
General flow field prediction for data-based optimization
saiunit
Unit-aware Computations for AI-driven Scientific Computing.
brainunit
Physical units and unit-aware mathematical system for general-purpose brain dynamics modeling.
MolPuzzle
[NeurIPS 24] Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
GenoMAS
A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis
simshift
SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts
iowarp-mcps
Bringing AI practically to science!
AI4Polymer
Awesome list about AI4Polymer
Molecule-Generator
Variational Autoencoder (VAE)-based molecular SMILES string generator
LinkerNet
The official implementation of LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion (NeurIPS 2023 Spotlight)
ml4chem
「機械学習による分子最適化」のサポートページ
magic-microlensing
MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.