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awesome-diarization icon awesome-diarization

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

complex-yolov4-pytorch icon complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dvector icon dvector

Speaker embedding (d-vector) trained with GE2E loss

efficientnet-yolo3-keras icon efficientnet-yolo3-keras

这是一个efficientnet-yolo3-keras的源码,将yolov3的主干特征提取网络修改成了efficientnet

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gaussian_yolov3 icon gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

imgaug icon imgaug

Image augmentation for machine learning experiments.

keras-yolov4 icon keras-yolov4

supports training, at least 39.5% mAP.支持训练,至少39.5%mAP。少数的给出精度的复现。

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

mobilenet-ssd-keras icon mobilenet-ssd-keras

这是一个mobilenet-ssd-keras的源码,可以用于训练自己的轻量级ssd模型。

models icon models

Models and examples built with TensorFlow

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pyannote-audio icon pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

pyannote-metrics icon pyannote-metrics

A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems

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