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scientific discovery

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/aspuru-guzik-group/gryffin

공식 코드

Bayesian optimization with known experimental and design constraints for chemistry applications

https://github.com/aspuru-guzik-group/olympus

공식 코드

Olympus: a benchmarking framework for noisy optimization and experiment planning

https://github.com/aspuru-guzik-group/qnode

공식 코드

Learning quantum dynamics with latent neural ODEs

https://github.com/behavioral-data/blade

공식 코드

BLADE: Benchmarking Language Model Agents for Data-Driven Science

https://github.com/benevolentai/r2e-evaluation-data

공식 코드

Retrieve to Explain: Evidence-driven Predictions with Language Models

https://github.com/bowang-lab/bioreason

공식 코드

BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model

https://github.com/brachiolab/sop

공식 코드

Sum-of-Parts: Faithful Attributions for Groups of Features

https://github.com/causallearningai/istant

공식 코드

Smoke and Mirrors in Causal Downstream Tasks

https://github.com/chao1224/geom3d

공식 코드

Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

https://github.com/charles-pyj/bridging-ai-and-science

공식 코드

Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science

https://github.com/chchenhui/mlrbench

공식 코드

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research

https://github.com/cmbagents/cmbagent

공식 코드

Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery

https://github.com/cmu-safari/molecules2variations

공식 코드

Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis

https://github.com/cognitiveailab/matter-of-fact

공식 코드

Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science

https://github.com/coleygroup/diffms

공식 코드

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra

https://github.com/csbl-br/awesome-compbio-chatgpt

공식 코드

Ten Quick Tips for Harnessing the Power of ChatGPT/GPT-4 in Computational Biology

https://github.com/csinva/imodelsX

공식 코드

Explaining Patterns in Data with Language Models via Interpretable Autoprompting

https://github.com/csinva/transformation-importance

공식 코드

Transformation Importance with Applications to Cosmology

https://github.com/darrendavidprice/science-discovery/tree/master/expressive_gaussian_mixture_models

공식 코드

Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences

https://github.com/debugml/sop

공식 코드

Sum-of-Parts: Faithful Attributions for Groups of Features

https://github.com/deep-symbolic-mathematics/llm-sr

공식 코드

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

https://github.com/deepskies/deepastrouda

공식 코드

Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection

https://github.com/dionhaefner/rogue-wave-discovery

공식 코드

Machine-Guided Discovery of a Real-World Rogue Wave Model

https://github.com/dptech-corp/Uni-SMART

공식 코드

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

https://github.com/du-nlp-lab/lmr-bench

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LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research

https://github.com/duydinhlab/dmfagents

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DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model Agents

https://github.com/emaasit/long-range-extrapolation

공식 코드

Capturing Structure Implicitly from Time-Series having Limited Data

https://github.com/eperluo/baisbench

공식 코드

Benchmarking AI scientists in omics data-driven biological research

https://github.com/eternagame/KaggleOpenVaccine

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Deep learning models for predicting RNA degradation via dual crowdsourcing

https://github.com/eth-nn-physics/nn_physical_concepts

공식 코드

Discovering physical concepts with neural networks

https://github.com/ewendawi/llamea-bo

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LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms

https://github.com/falsifiers/REFUTE

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Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation

https://github.com/gair-nlp/o1-journey

공식 코드

O1 Replication Journey: A Strategic Progress Report -- Part 1

https://github.com/gair-nlp/olympicarena

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OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

https://github.com/gomes-lab/AiSciVision

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AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification

https://github.com/gt4sd/gt4sd-core

공식 코드

Accelerating Material Design with the Generative Toolkit for Scientific Discovery

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