ricardomokhtari

ricardomokhtari's Stars

• AstraZeneca/MCPL

  Official implementation for "An image is worth multiple words: discovering object level concepts using multi-concepts prompts learning" [ICML 2024]]

  Language:Python92

• MIC-DKFZ/nnUNet

  Language:Python5.7k1.7k

• 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 Notebook47.1k5.6k

• AstraZeneca/ibd-interpret

  We trained high performing open source models on image scans of tissue biopsies to predict endoscopic categories in inflammatory bowel disease. These predictive models can help us better understand the disease pathology and represent a step towards automated clinical recruitment strategies.

  Language:Python132

• tensorflow/playground

  Play with neural networks!

  Language:TypeScript12k2.5k

• Project-MONAI/MONAILabel

  MONAI Label is an intelligent open source image labeling and learning tool.

  Language:Python597194

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.8k2.2k

• karpathy/convnetjs

  Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

  Language:JavaScript10.9k2k

• karpathy/lecun1989-repro

  Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

  Language:Jupyter Notebook59968

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20k2.5k

• ContinualAI/avalanche

  Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

  Language:Python1.8k289

• TissueImageAnalytics/cerberus

  One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

  Language:Python6912

• TissueImageAnalytics/iguana

  Interpretable Gland-Graph Networks

  Language:Python194

• histolab/histolab

  Library for Digital Pathology Image Processing

  Language:Python37059

• mahmoodlab/CLAM

  Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

  Language:Python1.1k352

• mahmoodlab/PORPOISE

  Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

  Language:Jupyter Notebook18335

• Xiyue-Wang/TransPath

  Language:Python25833

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.5k2.7k

• mahmoodlab/HIPT

  Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

  Language:Jupyter Notebook50587

• Richarizardd/Self-Supervised-ViT-Path

  Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)

  Language:Jupyter Notebook13817

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.8k674

• binli123/dsmil-wsi

  DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

  Language:Python36688

• mahmoodlab/SISH

  Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

  Language:Python9626

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python5.8k1.1k

• facebookresearch/swav

  PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

  Language:Python2k280

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.1k623

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.2k464

• AstraZeneca-Code-Club/beginners-python

  Session material and solutions for the Beginner's Python course at the AstraZeneca Code Club

  Language:Jupyter Notebook207

• MIRALab-USTC/KGE-HAKE

  The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

  Language:Python25052

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.5k1.7k