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pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python-crash-course

A Hands-On, Project-Based Introduction to Programming

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

qaonmilitarykg

QAonMilitaryKG，QaSystem based on military knowledge graph that stores in mongodb which is different from the previous one, 基于mongodb存储的军事领域知识图谱问答项目，包括飞行器、太空装备等8大类，100余小类，共计5800项的军事武器知识库，该项目不使用图数据库进行存储，通过jieba进行问句解析，问句实体项识别，基于查询模板完成多类问题的查询，主要是提供一种工业界的问答**demo。

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

rocket-recycling

Rocket-recycling with Reinforcement Learning

roitransformer_dota

sar_specific_models

scienceplots

Matplotlib styles for scientific plotting

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

statistical-learning-methods

Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

tph-yolov5

ufpmp-det

The official implementation of UFPMP-Det

underwater-object-detection

Underwater Object Detection [Optical]

valse2023

Valse2023简记

vamyolox

vidt

visualdl

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

vvv_dect

无人机图像目标检测

yoloair

🔥🔥🔥YOLOAir：Including YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR and other networks... Support to improve backbone, head, loss, IoU, NMS...The original version was created based on YOLOv5

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2,Mobilenetv3Small), Pruning and Quantization(8bit) Compression Tool Box.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov7_custom_data_trainig

yolov7 train on custom data

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/