https://github.com/gt4sd/multitask_text_and_chemistry_t5
공식 코드Unifying Molecular and Textual Representations via Multi-task Language Modelling
Papers with Code 아카이브
scientific discovery
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/harrylaucngd/prompt-eng-master
공식 코드Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
https://github.com/hbaniecki/robust-feature-effects
공식 코드https://github.com/hewlettpackard/x-time
공식 코드X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs
https://github.com/hicai-zju/scientific-llm-survey
공식 코드Scientific Large Language Models: A Survey on Biological & Chemical Domains
https://github.com/hkuds/ai-researcher
공식 코드https://github.com/hkust-knowcomp/awesome-llm-scientific-discovery
공식 코드From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
https://github.com/huangdaolang/aline
공식 코드ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
https://github.com/hyunp2/alphafold
공식 코드APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics
https://github.com/ibm/ai-descartes
공식 코드AI Descartes: Combining Data and Theory for Derivable Scientific Discovery
https://github.com/ilyatyagin/dyport
공식 코드Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique
https://github.com/insitro/sams-vae
공식 코드Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
https://github.com/ivaxi0s/hypothesizing-causal-variable-llm
공식 코드https://github.com/j1mk1m/autoexperiment
공식 코드From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking
https://github.com/jamesrobertlloyd/gp-structure-search
공식 코드Structure Discovery in Nonparametric Regression through Compositional Kernel Search
https://github.com/jiachangliu/okridge
공식 코드https://github.com/jiangnanhugo/apps-ode
공식 코드Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
https://github.com/jiangnanhugo/cvgp
공식 코드Symbolic Regression via Control Variable Genetic Programming
https://github.com/jmhb0/microvqa
공식 코드MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research
https://github.com/jmkuebler/auto-tst
공식 코드https://github.com/jmkuebler/automl-tst-paper
공식 코드https://github.com/johkruse/xai-for-afrr-activation
공식 코드Secondary control activation analysed and predicted with explainable AI
https://github.com/joyhsu0504/darcnn
공식 코드https://github.com/kanishkg/boxing-gym
공식 코드BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery
https://github.com/kindxiaoming/pykan
공식 코드https://github.com/krzysztof-kacprzyk/shares
공식 코드Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations
https://github.com/lai1997/bmlp_active_public
공식 코드https://github.com/lamm-mit/PRefLexOR
공식 코드In-situ graph reasoning and knowledge expansion using Graph-PReFLexOR
https://github.com/lamm-mit/SciAgentsDiscovery
공식 코드SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
https://github.com/lamm-mit/graphreasoning
공식 코드https://github.com/leamarion/automated_gadget_discovery
공식 코드https://github.com/liniallab/interfeat
공식 코드InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical Data
https://github.com/lsarra/rmi
공식 코드Renormalized Mutual Information for Artificial Scientific Discovery
https://github.com/makcedward/nlpaug
공식 코드https://github.com/mila-iqia/Awesome-Offline-Model-Based-Optimization
공식 코드https://github.com/mingchiangchang/crystalshift.jl
공식 코드Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.