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Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Medicalzoopytorch ⭐ 896

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Modal Examples ⭐ 450

Examples of programs built using Modal

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)

ML Dataset Governance Policy for Autonomous Vehicle Datasets

Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)

Deep Supervised Cross-modal Retrieval (PyTorch Code)

Deep Cross Modal Hashing ⭐ 48

Deep learning cross modal hashing in PyTorch

Lcmcg Pytorch ⭐ 40

AAAI2020-The official implementation of "Learning Cross-modal Context Graph for Visual Grounding"

Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.

Hyperdensenet_pytorch ⭐ 29

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Adaptive Context-Aware Multi-Modal Network for Depth Completion

🚀 A simple, modern, full-stack toolkit for Python 🐍

Cross Modal Retrieval ⭐ 20

Cross-Modal Retrieval, triplet loss, Pytorch, Resnet18, Bert, Deep Hashing

Source code for paper "Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval".

Polyloss ⭐ 15

Source code of Universal Weighting Metric Learning for Cross-Modal Matching. The paper is accepted by CVPR2020.

Perceive Transform And Act ⭐ 14

PyTorch code for the paper: "Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation"

Cmn.pytorch ⭐ 11

PyTorch implementation of "Vision-Dialog Navigation by Exploring Cross-modal Memory", CVPR 2020.

Deep Learning Framework For Multi Modal Product Classification ⭐ 7

Code repository for Rakuten Data Challenge: Multimodal Product Classification and Retrieval.

Removing Bias In Multi Modal Classifiers ⭐ 7

Transearch ⭐ 5

Implementation for our MM'18 paper --- Multi-modal Preference Modeling for Product Search.

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