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deploy-of-pytorch-models-on-docker

一个稳定的在docker上部署pytorch 模型的框架 个人用

deploy-pytorch-model

deployment-heroku

Deployment Heroku

derm7pt

Dermatology dataset composed of a diagnosis and seven-point checklist criteria labels

detect_plant_diseases_using_various_yolo_versions

detecto

Build fully-functioning computer vision models with PyTorch

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2-train-a-instance-segmentation-model

Learn how to train a custom instance segmentation model with Detectron2

detectron2_timm

A simple wrapper library for binding timm models as detectron2 backbones

detr

End-to-End Object Detection with Transformers

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diabetic-retinopathy

PyTorch for Diabetic Retinopathy Severity Classification

diabetic-retinopathy-code

Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection

diabetic-retinopathy-detection

Using SVM and KNN

diabetic-retinopathy-detection-using-deep-learning

Dataset under consideration - EyePacs dataset provided by kaggle

diabetic-retinopathy-pytorch

biomarker detection on diatetic retinopathy

diabetic-retinopathy-with-cnn

diabetic_reinopathy_detection

Diabetic retinopathy detection using Pytorch

diabetic_retinopathy_detection

Code for the kaggle challenge: Diabetic Retinopathy Detection (TensorFlow)

diabeticretinopathy_solution

a solution to resolve diabetic retinopathy problems

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.

diffusion-net

Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

dig

A library for graph deep learning research

digital-race

Self Driving Car for Digital Race contest that is sponsored by FPT Corp.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dir-gnn

Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)

discovr

discovr package for R to accompany Discovering Statistics Using R and RStudio

dl-web-xray

dlcookbook-dlbs

Deep Learning Benchmarking Suite