quliulangle

quliulangle

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quliulangle's repositories

Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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AI-interview-cards

最完整的AI算法面试题目仓库,1000道,25个类目

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AudioClassification-Pytorch

The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

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distill-and-select

DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval

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DS_TDNN

Official implement of "Dual-stream Time-Delay Neural Network with Dynamic Global Filter for Speaker Verification" in PyTorch

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face_landmark_factory

These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.

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FaceX-Zoo

A PyTorch Toolbox for Face Recognition

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InsightFace_TF

Insight Face on TensorFlow

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MINI_LLM

This is a repository used by individuals to experiment and reproduce the pre-training process of LLM.

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PFLD-pytorch

PFLD pytorch Implementation

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pushgateway

Push acceptor for ephemeral and batch jobs.

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shapenet

PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters"

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YOLOU

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO

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Yolov5-deepsort-inference

Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中

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stable-diffusion-webui

Stable Diffusion web UI

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VoiceprintRecognition-Pytorch

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

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yolov7

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

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YOLOv8_Efficient

🚀Simple and efficient use for Ultralytics yolov8🚀

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