BBQtime

BBQtime's Stars

• tinygrad/tinygrad

  You like pytorch? You like micrograd? You love tinygrad! ❤️

  Language:Python26.4k2737252.9k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook24.9k3233943.2k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.6k3001.4k2.5k

• microsoft/torchscale

  Foundation Architecture for (M)LLMs

  Language:Python3k4677202

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook2.8k20278384

• kadirnar/segment-anything-video

  MetaSeg: Packaged version of the Segment Anything repository

  Language:Python947124567

• awslabs/fortuna

  A Library for Uncertainty Quantification.

  Language:Python887121846

• Zhendong-Wang/Diffusion-GAN

  Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

  Language:Python601173964

• AlaaLab/deep-learning-uncertainty

  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

  Language:Jupyter Notebook59732278

• ljwztc/CLIP-Driven-Universal-Model

  [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

  Language:Python56587967

• DeepRegNet/DeepReg

  Medical image registration using deep learning

  Language:Python5641739776

• uni-medical/SAM-Med3D

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

  Language:Python47468063

• MrGiovanni/SyntheticTumors

  [CVPR 2023] Label-Free Liver Tumor Segmentation

  Language:Python30171526

• PengtaoJiang/Segment-Anything-CLIP

  Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works

  Language:Jupyter Notebook1714315

• leonnnop/GMMSeg

  [NeurIPS 2022 Spotlight] GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

  Language:Python16010914

• tamasino52/UNETR

  Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

  Language:Python1494223

• mazurowski-lab/segment-anything-medical-evaluation

  Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis

  Language:Python1424616

• hollance/reliability-diagrams

  Reliability diagrams visualize whether a classifier model needs calibration

  Language:Jupyter Notebook1345118

• Sikerdebaard/dcmrtstruct2nii

  DICOM RT-Struct to mask

  Language:Python9122627

• 0liliulei/Mem3D

  Language:Python82397

• colorful-liyu/3DQD

  [CVPR'23] Official PyTorch implementation of 3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

  Language:C++767208

• deeplearning-wisc/react

  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

  Language:Python493108

• xiaofang007/CTO

  Language:Python46185

• ikboljon/tmss_miccai

  TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction

  Language:Jupyter Notebook27204

• WindOfNet/CgStairFinder

  crossgate olg map file analysis

  Language:C#223015

• DL-Circle/3D-DDPM

  3D medical image synthesis

  18640

• dwang181/selectivecal

  Source code for selective scaling in the paper of << On Calibrating Semantic Segmentation Models - Analyses and An Algorithm>> (CVPR 2023)

  Language:Python14321

• yding5/AdaptiveBinning

  Adaptive-binning for evaluation of confidence calibration

  Language:Python12101

• baoqiangmaUMCG/TransRP

  Language:Python51

• Luoxd1996/AI4RAD

  Using AI to accelerate adaptive radiotherapy, automatic GTVs, CTVs, OARs delineation, dose estimation, and survival prediction.

  110