Stars
⚡ TabPFN: Foundation Model for Tabular Data ⚡
⚡ Easy API access to the tabular foundation model TabPFN ⚡
AutoDock for GPUs and other accelerators
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - …
Spatio-temporal weather prediction model based on graph evolution
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Code for the SIGMOD 2023 paper "SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation".
Learning-based Gas Distribution Mapping with Graph Neural Networks
Predict and Inverse design for metal-organic framework with large-language models (llms)
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks
PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"
Python scripts for PhaseNet and EQTransformer execution in SGC data
STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI
Code of 'An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring'
EQTransformer, a python package for earthquake signal detection and phase picking using AI.