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adelaidet-fcosv2-

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bearing-fault-diagnosis-based-on-deep-learning

基于深度学习的机械设备故障诊断方法研究

bearing-fault-diagnosis-with-few-shot-learning-pytorch

bearing_detection_by_conv1d

[深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）

cae

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

dab-detr

[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

matlab-machine

tcn

Sequence modeling benchmarks and temporal convolutional networks

ttfnet