lfsanchezp

lfsanchezp's Stars

• cosmoimd/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook8

• cosmoimd/real-colon-dataset

  Helper function for working with the REAL-Colon Dataset

  Language:Jupyter Notebook265

• roboflow/awesome-openai-vision-api-experiments

  Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

  Language:Python1.6k127

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python22.9k1.7k

• gersteinlab/MedAgents

  Language:Python20727

• ricklisz/Polyp-SAM

  This repo contains the code and model weights for Polyp-SAM

  Language:Jupyter Notebook295

• RisabBiswas/Polyp-SAM-PlusPlus

  Polyp-SAM++ is the first text-guided polyp-segmentation method using segment anything model (SAM).

  Language:Jupyter Notebook103

• luca-medeiros/lang-segment-anything

  SAM with text prompt

  Language:Jupyter Notebook1.6k169

• YichiZhang98/SAM4MIS

  SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary

  70153

• taozh2017/Awesome-Polyp-Segmentation

  12715

• xinntao/ESRGAN

  ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

  Language:Python6k1.1k

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python27.9k3.5k

• sing-group/public-datasets-to-voc

  Scripts for converting public polyp datasets to the PASCAL VOC format.

  Language:Python7

• simula/medimetrics

  A web-based tool for ML metrics calculations.

  Language:JavaScript91

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.3k883

• sharib-vision/EndoCV2021-polyp_det_seg_gen

  Language:Python296

• GrassBro/CV_WSSL

  Weakly-/Semi-Supervised Learning in Computer vision

  13115

• iBelieveCJM/pseudo_label-pytorch

  The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

  Language:Shell33655

• sing-group/deep-learning-colonoscopy

  Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).

  16533

• allisonhorst/stats-illustrations

  R & stats illustrations by @allison_horst

  1.8k199

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python5.7k1.1k

• google-research/uda

  Unsupervised Data Augmentation (UDA)

  Language:Python2.2k312

• shawnyuen/DeepLearningInMedicalImagingAndMedicalImageAnalysis

  528128

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.9k2.9k

• MrGiovanni/UNetPlusPlus

  [IEEE TMI] Official Implementation for UNet++

  Language:Python2.3k537

• aurora95/Keras-FCN

  Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

  Language:Python650268

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2.4k

• fidler-lab/polyrnn-pp

  Inference Code for Polygon-RNN++ (CVPR 2018)

  Language:Jupyter Notebook734161

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python2.9k1.2k

• goodfeli/dlbook_notation

  LaTeX files for the Deep Learning book notation

  Language:TeX1.7k351