lingxitong

lingxitong's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python274k6.5k30146.1k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.1k3139214.8k

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python21.6k1281.4k2.1k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python20k1571.5k2.2k

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.6k70106680

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k321.4k1.9k

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.9k99663966

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python4k3639359

• microsoft/LLaVA-Med

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

  Language:Python1.5k2887194

• open-compass/VLMEvalKit

  Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks

  Language:Python1.3k12199181

• Linfeng-Tang/Image-Fusion

  Deep Learning-based Image Fusion: A Survey

  Language:MATLAB81099131

• CircleRadon/Osprey

  [CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"

  Language:Python764144243

• jaredleekatzman/DeepSurv

  DeepSurv is a deep learning approach to survival analysis.

  Language:Jupyter Notebook5882983174

• sail-sg/metaformer

  MetaFormer Baselines for Vision (TPAMI 2024)

  Language:Python414101527

• YUANZHUO-BNU/metahuman_overview

  数字人资料整理

  40410154

• wilmerwang/SLFCD

  The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

  Language:Python3071517117

• seanzhang-zhichen/llama3-chinese

  Llama3-Chinese是以Meta-Llama-3-8B为底座，使用 DORA + LORA+ 的训练方法，在50w高质量中文多轮SFT数据 + 10w英文多轮SFT数据 + 2000单轮自我认知数据训练而来的大模型。

  Language:Python2886720

• OpenGVLab/gv-benchmark

  General Vision Benchmark, GV-B, a project from OpenGVLab

  Language:Python1898712

• mahmoodlab/Patch-GCN

  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

  Language:Python12353429

• fedshyvana/pathology_mllm_training

  Language:Python701411

• liupei101/PseMix

  [IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

  Language:Python42373

• chy-upc/ABD

  [CVPR 2024] Code for "Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation"

  Language:Python33093

• FangHeng/SAM-MIL

  [ACM MM 2024] SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification

  Language:Python32416

• Dootmaan/DTFD-MIL.PyTorch

  Unofficial implementation of CVPR2022 paper DTFD-MIL. Use the official CAMELYON16 dataset instead of the .pickle file used in the official DTFT-MIL repo.

  Language:Python26180

• marrlab/HistoGPT

  A vision language model for gigapixel whole slide images in histopathology

  Language:Jupyter Notebook26536

• whq-xxh/SFADA-GTV-Seg

  (TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals

  Language:Python21312

• yang-ze-kang/SCMIL

  Official implementation for "SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images"

  Language:Python50

• CUHK-AIM-Group/MultiModal-learning

  Language:Python3000

• weiaicunzai/Norma

  Language:Python210

• lingxitong/MM_BASELINE

  A library that integrates different Multi-Modal Fusion methods into a unified framework

  1100