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Focusing
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Focusing
130 followers · 126 following

Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Starstruck

Achievements

Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Starstruck

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spianmo/README.md

Hi, I'm Finger!

package main

type Me struct {
	Name   string
	Job    string
	Code   string
	Skills string
}

func main() {
	me := &Me{
		Name:   "Finger",
		Job:    "Client-side Engineer",
		Code:   "Java, Kotlin, C#, Rust and C++ and Others",
		Skills: "Android, Security, Cross-platform client, NLP, CV, ASR ^o^",
	}
	_ = me
}

📊 This Week I Spent My Time On:

BashSupport Pro Shell Script   25 mins         ██████████████████░░░░░░░   72.16 %
Python                         8 mins          ██████▒░░░░░░░░░░░░░░░░░░   25.17 %
textmate                       0 secs          ▒░░░░░░░░░░░░░░░░░░░░░░░░   01.54 %
SQL                            0 secs          ░░░░░░░░░░░░░░░░░░░░░░░░░   00.62 %
Markdown                       0 secs          ░░░░░░░░░░░░░░░░░░░░░░░░░   00.49 %

Pinned Loading

  1. GaitStudio GaitStudio Public

    Based on the Kinect depth camera and MediaPipe, real-time reasoning of the joint activity of each part of the human body, and output a detection report.

    Jupyter Notebook 10 1

  2. GeoLocation GeoLocation Public

    Use C++ ATL COM to obtain real-time GPS coordinates on the Windows platform, support location monitoring, and implement the same method as dotNet's System.Device.Location

    C++ 9

  3. Sg4Dylan/libvits-ncnn Sg4Dylan/libvits-ncnn Public

    libvits-ncnn is an ncnn implementation of the VITS library that enables cross-platform GPU-accelerated speech synthesis.🎙️💻

    C++ 60 6

  4. k2-fsa/sherpa-ncnn k2-fsa/sherpa-ncnn Public

    Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, L…

    C++ 1.2k 166

  5. MultiClassify_LSTM_ForChinese MultiClassify_LSTM_ForChinese Public

    Use Bi-LSTM neural network to classify Chinese text sentiment, including eight categories (like, disgust, happiness, sadness, anger, surprise, fear, none)

    Python 22 5

  6. iReaderAndroid/X2C iReaderAndroid/X2C Public

    Increase layout loading speed 200%

    Java 2.6k 254