OrdinaryCrazy

OrdinaryCrazy's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.2k47518.9k5.8k

• SimplifyJobs/Summer2024-Internships

  Collection of Summer 2024 tech internships!

  30.7k1.3k2.1k2.6k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust30.5k1679.2k2k

• coder2gwy/coder2gwy

  互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

  26.7k3751533.7k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.3k3253242.6k

• dunovank/jupyter-themes

  Custom Jupyter Notebook Themes

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• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k25214780

• google-deepmind/dm-haiku

  JAX-based neural network library

  Language:Python2.9k37249231

• lightaime/deep_gcns_torch

  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

  Language:Python1.1k1760154

• MedMNIST/MedMNIST

  [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

  Language:Python1.1k1660169

• PaddlePaddle/PaddleHelix

  Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

  Language:Python1k24120225

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python89984796

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python8931626135

• rii-mango/Papaya

  A pure JavaScript medical research image viewer.

  Language:JavaScript55442207205

• CRIPAC-DIG/GRACE

  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

  Language:Python31471354

• tech-srl/how_attentive_are_gats

  Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

  Language:Python31111838

• mengliu1998/awesome-deep-gnn

  Papers about developing deep Graph Neural Networks (GNNs)

  30116032

• QingyongHu/SpinNet

  [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

  Language:Python268142934

• yule-BUAA/DyGLib

  A Library for Dynamic Graph Learning (NeurIPS 2023)

  Language:Python18721732

• shenyangHuang/TGB

  Temporal Graph Benchmark project repo

  Language:Python18575436

• babylonhealth/rgat

  A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811

  Language:Python1148020

• VITA-Group/Large_Scale_GCN_Benchmarking

  This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

  Language:Python621148

• YujieMo/SUGRL

  Language:Python451813

• OrdinaryCrazy/BankDatabaseApplication

  This is a personal USTC 011147 Course work repository aims at designing and implementing a database application.

  Language:Python222012

• BaseModelAI/kdd-cup-2021

  Language:Python18627

• zhengyang-wang/GVTNets

  Global Voxel Transformer Networks (GVTNets)

  Language:Python18104

• saasbook/hw-rails-intro

  Language:Ruby1321151.4k

• ease-lab/grasp

  Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].

  Language:Emacs Lisp7611

• OrdinaryCrazy/OrdinaryCrazy.github.io

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• chienpeng/match-my-fashion-public-CodeCreators

  Match my fashion public project

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