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sa404-star's Projects

annotated_deep_learning_paper_implementations icon 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, ... 🧠

awesome-backbones icon awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

cardiov icon cardiov

Estimating Critical Value from Electrocardiogram using a Deep Ordinal Convolutional Neural Network

chinese_ner icon chinese_ner

中文命名实体识别:BERT-BiLSTM-CRF模型实现中文,数据集使用CLUENER2020

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

easy-rl icon easy-rl

强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/

ecg-age-prediction icon ecg-age-prediction

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

learning icon learning

things created when i was learning something

mish icon mish

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

ml-visuals icon ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

pytorchdocs icon pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!

yolov3 icon yolov3

在pytorch-yolov3的基础上加入了DropBlock和Label Smoothing,Gridmask和mosaic数据增强等进行口罩检测

yolov5 icon yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-deepsort icon yolov5-deepsort

最新版本yolov5+deepsort目标检测和追踪,能够显示目标类别,支持5.0版本可训练自己数据集

yolov5-multibackbone-compression icon yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

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