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Graphormer is a general-purpose deep learning backbone for molecular modeling.
Created
2021-05-27
77 commits to main branch, last one about a month ago
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Created
2024-01-05
79 commits to main branch, last one 7 days ago
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
ai4science
awesome-list
best-of-list
drug-discovery
condensed-matter
surrogate-models
quantum-chemistry
molecular-dynamics
materials-discovery
electronic-structure
scientific-computing
materials-informatics
interatomic-potentials
computational-chemistry
density-functional-theory
atomistic-machine-learning
scientific-machine-learning
computational-materials-science
Created
2023-06-09
283 commits to main branch, last one a day ago
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
Created
2021-11-09
1,321 commits to develop branch, last one 22 hours ago
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
Created
2023-06-05
49 commits to main branch, last one 21 days ago
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Created
2023-06-07
9 commits to main branch, last one 10 months ago
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Created
2023-05-21
61 commits to main branch, last one 3 months ago
Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, and Fundamental Sciences such as Mathematics.
Created
2023-03-16
190 commits to main branch, last one 7 days ago
A comprehesive survey about foundation models for weather and cliamte data understanding.
climate
dataset
weather
ai4earth
ai4science
largemodel
deep-learning
climate-change
machine-learning
foundation-models
weather-forecating
weather-forecsating
time-series-analysis
large-language-models
spatial-temporal-data
representation-learning
self-supervised-learning
semi-supervised-learning
spatial-temporal-forecasting
weather-and-climate-understanding
Created
2023-11-13
35 commits to main branch, last one about a month ago
List of Geometric GNNs for 3D atomic systems
Created
2023-08-31
37 commits to main branch, last one 3 months ago
[ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
Created
2022-02-22
20 commits to main branch, last one 9 months ago
Must-read papers on NLP for science.
Created
2022-09-16
22 commits to main branch, last one about a year ago
Official code repo for the paper "LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset"
Created
2024-02-13
9 commits to main branch, last one about a month ago
A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic materials scientist powered by @materialsproject, @langchain-ai, and @openai
Created
2023-07-01
367 commits to main branch, last one 17 days ago
ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.
Created
2022-07-22
23 commits to master branch, last one 8 months ago
ChatCell: Facilitating Single-Cell Analysis with Natural Language
Created
2023-12-19
170 commits to main branch, last one 4 months ago
The official code for "TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation"
Created
2024-02-26
48 commits to main branch, last one 3 months ago
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
Created
2023-10-09
75 commits to main branch, last one 5 months ago
A curated list of awesome AI and Bioinformatics.
Created
2022-08-28
92 commits to master branch, last one about a year ago
[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"
Created
2024-01-07
27 commits to main branch, last one 19 days ago
This repository has no description...
Created
2023-02-05
2 commits to main branch, last one 3 months ago
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Created
2023-04-28
4 commits to master branch, last one 11 months ago
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
Created
2022-05-26
18 commits to main branch, last one 2 months ago
The official code for "Deep peak property learning for efficient chiral molecules ECD spectra prediction"
Created
2024-01-05
21 commits to main branch, last one 13 days ago
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang,...
Created
2023-11-01
12 commits to main branch, last one 3 months ago
[KDD 2024] Papers about deep learning in epidemic modeling.
Created
2024-04-11
14 commits to main branch, last one a day ago