thangdangjp

thangdangjp's Stars

• AspirinCode/papers-for-molecular-design-using-DL

  List of Molecular and Material design using Generative AI and Deep Learning

  65898

• usccolumbia/deeperGATGNN

  Scalable graph neural networks for materials property prediction

  Language:Python488

• divelab/AIRS

  Artificial Intelligence Research for Science (AIRS)

  Language:Python49758

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX49.3k4.8k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38k4k

• seonghann/tsdiff

  Diffusion model for transition state prediction

  Language:Python285

• slds-lmu/seminar_multimodal_dl

  https://slds-lmu.github.io/seminar_multimodal_dl/

  Language:TeX16327

• steveazzolin/gdl_tutorial_turinginst

  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

  Language:Jupyter Notebook548

• kjappelbaum/awesome-chemistry-datasets

  overview of datasets for ML in chemistry

  24828

• jenkinsci/docker

  Docker official jenkins repo

  Language:PowerShell6.7k4.5k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python32.9k2.5k

• sapientml/sapientml

  Generative AutoML for Tabular Data

  Language:Python43226

• Open-Catalyst-Project/Open-Catalyst-Dataset

  Workflow for creating and analyzing the Open Catalyst Dataset

  Language:Python8932

• FAIR-Chem/fairchem

  FAIR Chemistry's library of machine learning methods for chemistry

  Language:Python777243