Nandayang

Nandayang's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook49.5k3116925.8k

• HumanSignal/label-studio

  Label Studio is a multi-type data labeling and annotation tool with standardized output format

  Language:JavaScript21.4k1802.5k2.6k

• NVIDIA/pix2pixHD

  Synthesizing and manipulating 2048x1024 images with conditional GANs

  Language:Python6.7k1683131.4k

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.7k65248945

• hustvl/Vim

  [ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

  Language:Python3.3k33127227

• MzeroMiko/VMamba

  VMamba: Visual State Space Models，code is based on mamba

  Language:Python2.5k16359171

• microsoft/LLaVA-Med

  Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

  Language:Python1.8k2599227

• facebookresearch/moco-v3

  PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

  Language:Python1.3k1634168

• stardist/stardist

  StarDist - Object Detection with Star-convex Shapes

  Language:Python1k28236237

• jia-zhuang/pytorch-multi-gpu-training

  整理 pytorch 单机多 GPU 训练方法与原理

  Language:Python8065883

• uni-medical/SAM-Med3D

  SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

  Language:Python62599881

• DaiShiResearch/TransNeXt

  [CVPR 2024] Code release for TransNeXt model

  Language:Python49663620

• d-li14/efficientnetv2.pytorch

  PyTorch implementation of EfficientNetV2 family

  Language:Python466101095

• kyegomez/VisionMamba

  Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

  Language:Python43961921

• burglarhobbit/Awesome-Medical-Large-Language-Models

  Curated papers on Large Language Models in Healthcare and Medical domain

  29210233

• ziqipang/LM4VisualEncoding

  [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"

  Language:Python232498

• cedricoeldorf/ConditionalStyleGAN

  Conditional implementation for NVIDIA's StyleGAN architecture

  Language:Python22771446

• sartorius-research/LIVECell

  Language:Python18733042

• ByungKwanLee/Full-Segment-Anything

  This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-processing: removing duplicated or small regions and holes, under flexible input image size

  Language:Python15321011

• AdalbertoCq/Pathology-GAN

  Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'

  Language:Python9771322

• broadinstitute/cellpainting-gallery

  Cell Painting Gallery

  8164513

• jump-cellpainting/2024_Chandrasekaran_NatureMethods

  Language:Jupyter Notebook6092811

• xuwangyin/dinov2-finetune

  Finetuning DINOv2 (https://github.com/facebookresearch/dinov2) on your own dataset

  Language:Python55123

• Loping151/ForPlane

  Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

  Language:Python541192

• lakshitadodeja/image_watermarking

  A python program to implement different watermarking algorithms, like dwt, dct, dft,svd and dwt-svd

  Language:Python452114

• M3DV/ImPulSe

  [MICCAI'22] What Makes for Automatic Reconstruction of Pulmonary Segments

  Language:Python19211

• rg4sun/RG_LSB

  Implementation and Performance Analysis of LSB Steganography Algorithm. The test shows that it has excellent imperceptibility (PSNR value all above 50), and the visual observation of the embedded graph is no different from the original graph. In the case of no attack, the error rate of watermark extraction is 0%, indicating an excellent extraction effect.

  Language:Python19106

• RiccardoBiondi/segmentation

  COVID-19 Lung Segmentation

  Language:Python19457

• csqlwang/3G-Net

  Language:Python8301

• Hammer-888/watermark_demo

  DCT and LSB watermark algorithm

  Language:Python5101