lonicera-yx

lonicera-yx's Stars

• Alpha-VLLM/LLaMA2-Accessory

  An Open-source Toolkit for LLM Development

  Language:Python2.8k174

• FoundationVision/VAR

  [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

  Language:Jupyter Notebook6.6k431

• snap-stanford/pretrain-gnns

  Strategies for Pre-training Graph Neural Networks

  Language:Python985164

• sheldonresearch/ProG

  A Unified Python Library for Graph Prompting

  Language:Python52966

• WxxShirley/Awesome-Graph-Prompt

  Awesome Papers About Performing Prompting On Graphs

  36925

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook27.4k3.4k

• dair-ai/Prompt-Engineering-Guide

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

  Language:MDX53.4k5.2k

• LKI/chinese-calendar

  判断一天是不是法定节假日/法定工作日（查看节假日安排）

  Language:Python1.1k192

• zjunet/GPF

  The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.

  262

• johnhany/awesome-list

  A list of useful stuff in Machine Learning, Computer Graphics, Software Development, ...

  145

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python31.3k2.9k

• sagelywizard/pytorch-mdn

  Mixture Density Networks for PyTorch

  Language:Python21950

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell53.9k11.8k

• LiuXiangMath/PTA-SEL

  Persistent Tor-algebra based stacking ensemble learning

  Language:Python32

• ei1333/library

  CompetitiveProgramming C++ Library

  Language:C++20436

• dair-ai/GNNs-Recipe

  🟠 A study guide to learn about Graph Neural Networks (GNNs)

  1.2k124

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.7k358

• BorgwardtLab/SAT

  Official Pytorch code for Structure-Aware Transformer.

  Language:Python25540

• matthew-hirn/magnet

  MagNet graph convolutional network

  Language:Jupyter Notebook366

• saibalmars/GraphRicciCurvature

  A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.

  Language:Python24160

• pkuyzy/TLC-GNN

  Language:Python111

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

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k779

• ryanxwang/scc-maintenance-in-incremental-graphs

  Implementation of relevant algorithms to the maintenance of strong components in incremental graphs

  Language:Python2

• vthost/DAGNN

  A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.

  Language:Python12527

• SherylHYX/pytorch_geometric_signed_directed

  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

  Language:Python13317

• chrsmrrs/tudataset

  Language:TeX9216

• BorgwardtLab/graphkernels-review

  Code and data sets for the review on graph kernels

  Language:Python106

• BorgwardtLab/TOGL

  Topological Graph Neural Networks (ICLR 2022)

  Language:Python12022

• dragoun/veb-tree

  C/C++ implementation of van Emde Boas trees

  Language:C++11

• PetarV-/Algorithms

  Several algorithms and data structures implemented in C++ by me (credited to others where necessary).

  Language:C++652235