DeanLee18

DeanLee18's Stars

• docker/genai-stack

  Langchain + Docker + Neo4j + Ollama

  Language:Python4k867

• QuantWorld2022/backtrader

  Language:Jupyter Notebook445154

• zhihao-chen/QASystemOnMedicalGraph

  该项目是基于医疗领域知识图谱的问答系统。实现比较简单。

  Language:Python1.3k333

• zhihao-chen/QASystemOnMedicalKG

  A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

  Language:Python30589

• stephenc222/example-graphrag

  Example project demonstrating how to implement GraphRAG

  Language:Python11227

• neo4j-product-examples/graphrag-examples

  Example GraphRAG patterns

  Language:Jupyter Notebook9626

• tum-pbs/autoreg-pde-diffusion

  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

  Language:Jupyter Notebook6910

• jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets

  Physics Informed Machine Learning Tutorials (Pytorch and Jax)

  Language:Jupyter Notebook458167

• mcekwonu/Hidden-Fluid-Mechanics-Pytorch

  Hidden Fluid Mechanics in PyTorch

  Language:Python92

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.7k756

• idrl-lab/PINNpapers

  Must-read Papers on Physics-Informed Neural Networks.

  Language:Python916157

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python3.8k324

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k26.9k

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7k536

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k489

• yangruiling/CV-Interview-Q-A

  CV算法工程师面试知识点整理

  261

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k1k

• antao97/PointCloudDatasets

  3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

  Language:Python41544

• AutodeskAILab/RobustPointSet

  Language:Python395

• Yochengliu/Relation-Shape-CNN

  Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

  Language:Python41571

• QingyongHu/SoTA-Point-Cloud

  🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

  1.6k191

• WangYueFt/dgcnn

  Language:Python1.6k422

• sitzikbs/DeepFit

  Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"

  Language:Python14227

• sitzikbs/Nesti-Net

  Normal estimation for unstructured 3D point clouds using convolutional neural networks and a Mixture of Experts scale predictor.

  Language:Python4513

• Yochengliu/awesome-point-cloud-analysis

  A list of papers and datasets about point cloud analysis (processing)

  4.1k945

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.8k1.8k

• paulguerrero/pcpnet

  Pytorch implementation of PCPNet

  Language:Python17142

• aboulch/normals_HoughCNN

  Deep Learning for Robust Normal Estimation in Unstructured Point Clouds

  Language:C++4821