liuwan0208

liuwan0208's Stars

• sefira/opencompass

  OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

  Language:Python31

• GeneZC/MiniMA

  Code for paper titled "Towards the Law of Capacity Gap in Distilling Language Models"

  Language:Python935

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python36.4k4.5k

• mtbench101/mt-bench-101

  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

  386

• Jfortin1/neuroCombat_Rpackage

  neuroCombat R package

  Language:R208

• Hsankesara/VoxelMorph-PyTorch

  An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method

  Language:Python12228

• uci-cbcl/RP-Net

  Code for Recurrent Mask Refinement for Few-Shot Medical Image Segmentation (ICCV 2021).

  Language:Python559

• abhi4ssj/few-shot-segmentation

  PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

  Language:Python10315

• warmestwind/RAPNet

  Language:Python142

• wildphoton/RandConv

  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"

  Language:Python626

• cheng-01037/Causality-Medical-Image-Domain-Generalization

  [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

  Language:Jupyter Notebook8418

• duchi-lab/certifiable-distributional-robustness

  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

  Language:Python4512

• BIT-thesis/LaTeX-template

  LaTeX template for BIT thesis

  Language:TeX36392

• yhygao/UTNet

  Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

  Language:Python17927

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.5k347

• Project-MONAI/research-contributions

  Implementations of recent research prototypes/demonstrations using MONAI.

  Language:Python993327

• ZJUGiveLab/UNet-Version

  Language:Python645138

• SlicerDMRI/ConnPrediction

  3

• SlicerDMRI/whitematteranalysis

  White matter tractography clustering and more...

  Language:Python6732

• Slicer/Slicer

  Multi-platform, free open source software for visualization and image computing.

  Language:C++1.6k540

• SlicerDMRI/SlicerDMRI

  Diffusion MRI analysis and visualization in 3D Slicer open source medical imaging platform.

  Language:C++7627

• liuwan0208/TractSegWithLabelEmbedding

  Language:Python51

• ZhangxinruBIT/CarveMix

  Language:Python34

• holyseven/TransferLearningClassification

  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018.

  Language:Python5513

• sandeepjana/keras-l2sp-regularization-example

  L2-SP regularization minimal example. Reference: "Explicit Inductive Bias for Transfer Learning with Convolutional Networks."

  Language:Python31

• lixingjian/DELTA

  DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229

  Language:Python6612

• Adaptive-RL/AdaRL-code

  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

  Language:Python3410

• alinlab/L2T-ww

  Learning What and Where to Transfer (ICML 2019)

  Language:Python25148

• tim-learn/SHOT-plus

  code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

  Language:Python11020

• rodrigoberriel/budget-aware-adapters

  Budget-Aware Adapters for Multi-Domain Learning (ICCV 2019)

  4