chensisi0730's repositories

aubio

a library for audio and music analysis

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algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

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ASRFrame

An Automatic Speech Recognition Frame ,一个中文语音识别的完整框架, 提供了多个模型

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ASRT_SpeechRecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

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darknet

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

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Data-Science-Notes

数据科学的笔记以及资料搜集

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deeplearningbook-chinese

Deep Learning Book Chinese Translation

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DeepSpeechRecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

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FFmpegAndroid

android端基于FFmpeg实现音频剪切、拼接、转码、混音、编解码;视频剪切、水印、截图、转码、编解码、转Gif动图、画面拼接、视频倒播;音视频合成与分离;音视频解码、同步与播放;FFmpeg本地推流、H264与RTMP实时推流直播;OpenGL实时滤镜;FFmpeg滤镜:素描、色彩平衡、hue、lut、模糊、九宫格等;基于IjkPlayer修改支持RTSP超低延时直播(局域网1080P延时130ms)、暂停、静音,多路投屏直播

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ggs-ddu

知名大学开源课程。尽可能收录网络上知名大学的课程资源(北大、清华……)

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handpose

CrossInfoNet of CVPR 2019 for hand pose estimation

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labelImg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

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madmom

Python audio and music signal processing library

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mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

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mediapipe_multi_hands_tracking_aar_example

MediaPipe multi-hand tracking gpu demo with MediaPipe's Android archive library

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models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

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Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

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run

润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新**人的核心宗教,核心信念。

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stereo-calibration

:camera: :camera: Stereo camera calibration using OpenCV and C++

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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training

🐝 Custom Object Detection and Classification Training

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url

Baacloud官网

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YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

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zju-icicles

浙江大学课程攻略共享计划

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