🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
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Updated
May 24, 2024
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
A Curated List of Language Models in Scientific Domains
A comprehesive survey about foundation models for weather and cliamte data understanding.
Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, and Fundamental Sciences such as Mathematics.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Uncover meaningful structures of latent spaces learned by generative models with flows!
repo for LLM for Materials and Chemistry Hackathon 2024
PyTorch Implementation of CLEAN-Contact: Contrastive Learning-enabled Enzyme Functional Annotation Prediction with Structural Inference
Bayesian Optimization for Precision Agriculture
Official code repo for the paper "LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset"
This repo implements many methods to retrieve molecules that are similar to a target molecule from a large molecule corpus.
[ICML 2024] LSH-Based Efficient Point Transformer (HEPT)
Papers about deep learning in epidemic modeling.
Deep Symbolic Regression with Multimodal Pretraining
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
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