YonghengSun1997

YonghengSun1997's Stars

• xjw580/Hearthstone-Script

  Hearthstone script（炉石传说脚本）

  Language:Java1196

• little-fort/booster-bot

  A bot that could HYPOTHETICALLY be used to farm boosters for any deck in Marvel Snap.

  Language:C#391

• niccolo246/Extended_nnUNet

  Integrating advanced UNet architectural features into nnUNet framework.

  Language:Python201

• xmed-lab/TriALS

  MICCAI 2024: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentation challenges.

  Language:Python512

• laihaoran/Semi-Supervised-nnUNet

  This is a nnUNet for semi-supervised

  Language:Python152

• niccolo246/Advanced_nnUNet

  Language:Python222

• MECLabTUDA/Lifelong-nnUNet

  Language:Python13316

• lesuixin/Hearthstone-Hearthbuddy

  Hearthstone 炉石传说 Hearthbuddy 炉石兄弟

  Language:Batchfile522119

• AdriaGual/marvel-snap-bot

  A computer vision bot made with OpenCV and ADB.

  Language:Python9525

• runhey/OnmyojiAutoScript

  Onmyoji Auto Script | 阴阳师脚本

  Language:Python1.7k169

• uncbiag/Awesome-Foundation-Models

  A curated list of foundation models for vision and language tasks

  79235

• rfeinman/pytorch-minimize

  Newton and Quasi-Newton optimization with PyTorch

  Language:Python30834

• amusi/ECCV2024-Papers-with-Code

  ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目

  1.8k253

• amusi/ICCV2023-Papers-with-Code

  ICCV 2023 论文和开源项目合集

  2.5k250

• MIC-DKFZ/nnDetection

  nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

  Language:Python54394

• brainnetuoa/data_driven_network_neuroscience

  Language:Python131

• beacandler/awesome-cv-writing

  该仓库包含了计算机视觉论文中写作常用的句式、短语、缩写等。

  5312

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k374

• ShiYunyi/Meta-Weight-Net_Code-Optimization

  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

  Language:Python5714

• xjtushujun/meta-weight-net

  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

  Language:Python27968

• xmu-xiaoma666/External-Attention-pytorch

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

  Language:Python11.3k1.9k

• CtrlZ1/Domain-Adaptation-Algorithms

  Record my work in transfer learning during my postgraduate period.

  442

• microsoft/InnerEye-DeepLearning

  Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning

  Language:Python556142

• shadowsocksrr/shadowsocksr-csharp

  Language:C#15.3k3.3k

• MCG-NKU/CVPR_Template

  Language:TeX36254

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python23.9k4.6k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.3k1.4k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.9k2.6k

• huawei-noah/noah-research

  Noah Research

  Language:Python861160

• facebookresearch/deit

  Official DeiT repository

  Language:Python4k553