ziruYU

ziruYU's Stars

• Icecream-blue-sky/Past-and-present-small-object-detection

  Latest paper about small object detection

  43254

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python31.5k7.6k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python30.6k9.6k

• lyhue1991/torchkeras

  Pytorch❤️ Keras 😋😋

  Language:Jupyter Notebook1.9k249

• ymcui/Chinese-LLaMA-Alpaca-2

  中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

  Language:Python7.2k575

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.6k1.6k

• znxlwm/pytorch-generative-model-collections

  Collection of generative models in Pytorch version.

  Language:Python2.6k541

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.9k4.1k

• ziruYU/Sptra

  Language:Jupyter Notebook3

• wangshusen/DeepLearning

  Language:TeX3.9k847

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python59.4k6k

• lucidrains/reformer-pytorch

  Reformer, the efficient Transformer, in Pytorch

  Language:Python2.2k255

• osmr/imgclsmob

  Sandbox for training deep learning networks

  Language:Python3k560

• amusi/CVPR2025-Papers-with-Code

  CVPR 2025 论文和开源项目合集

  19.3k2.7k

• zhao62/Deep-Residual-Shrinkage-Networks

  The deep residual shrinkage network is a variant of deep residual networks.

  Language:Python474107

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.8k2k

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python3k434

• yongqyu/st-gcn-pytorch

  Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

  Language:Python15339

• yysijie/st-gcn

  Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

  Language:Python1.6k336

• KonstantinosF/Classification-of-Hyperspectral-Image

  Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

  Language:Jupyter Notebook19175

• spectralpython/spectral

  Python module for hyperspectral image processing

  Language:Python602143

• biolab/orange3-datafusion

  🍊 :link: Data fusion add-on for Orange3

  Language:Python1618

• claws-lab/jodie

  A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

  Language:Python38184

• VeritasYin/STGCN_IJCAI-18

  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks

  Language:Python1.1k309

• liu-yushan/TLogic

  Language:Jupyter Notebook4816

• SpaceLearner/Awesome-DynamicGraphLearning

  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

  Language:Shell63083

• tkipf/relational-gcn

  Keras-based implementation of Relational Graph Convolutional Networks

  Language:Python806134

• IBM/AMLSim

  The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.

  Language:Python27784

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.8k386

• EagleW/PaperRobot

  Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

  Language:Python476132