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adminlte

AdminLTE - Free admin dashboard template based on Bootstrap 4

attentionocr

Scene text recognition

autokeras

Accessible AutoML for deep learning.

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

curve-gcn

Official PyTorch code for Curve-GCN (CVPR 2019)

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepspeaker_pytorch

ensemble-objdet

A basic ensemble method for object detection. Given bounding boxes from multiple object detectors, output a single cohesive set of bounding boxes.

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

imagededup

😎 Finding duplicate images made easy!

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

masr

中文语音识别，高识别率预训练模型，支持docker快速安装 Chinese Speech Recognition; Mandarin Automatic Speech Recognition;

mmdetection

Open MMLab Detection Toolbox

mysqldba

MySQL DBA用得到的东西

numpy-ml

Machine learning, in numpy

objectdetection-onestagedet

one-python-craftsman

来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。

plotneuralnet

Latex code for making neural networks diagrams

pyfladesk

create desktop application by using Flask and QtWebKit

pyqt

PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5

python

All Algorithms implemented in Python

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

research-charnet

CharNet: Convolutional Character Networks

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

smart-sketch

🖌 photorealistic drawings from simple sketches using NVIDIA's GauGAN

stronger-yolo

Improve yolo with latest paper

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

test