repo for LLM for Materials and Chemistry Hackathon 2024
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Updated
May 10, 2024 - Jupyter Notebook
repo for LLM for Materials and Chemistry Hackathon 2024
Bayesian Optimization for Precision Agriculture
PyTorch Implementation of CLEAN-Contact: Contrastive Learning-enabled Enzyme Functional Annotation Prediction with Structural Inference
Este proyecto es una aplicación web que utiliza la API de OpenAI para generar automáticamente presentaciones educativas. La aplicación permite a los usuarios ingresar información sobre el tema de la clase, la duración, el nivel educativo y las palabras clave relevantes.
This repo implements many methods to retrieve molecules that are similar to a target molecule from a large molecule corpus.
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI) generate the TBSI Sunwoda Battery Dataset. We open-source this dataset to inspire more data-driven novel material verification, battery management research and applications.
The official implementation of LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion (NeurIPS 2023 Spotlight)
「機械学習による分子最適化」のサポートページ
MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.
Deep Symbolic Regression with Multimodal Pretraining
[ICML 2024] LSH-Based Efficient Point Transformer (HEPT)
Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
GPT (Generative Pre-trained Transformer) for de novo molecular design by enforcing specified targets
Uncover meaningful structures of latent spaces learned by generative models with flows!
Papers about deep learning in epidemic modeling.
[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)
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