Hello! I am an enthusiastic and driven individual who is passionate about programming, research, learning, and problem-solving. I strive to leverage my technical abilities and insatiable curiosity to tackle real-world challenges and make a positive impact through technology.

$MyLoss = D_{KL}(work||life) + patience * \left | \left | bugs \right | \right | _2$

Maintaining a healthy work-life balance can be a daunting task for anyone, especially for programmers who are constantly grappling with debugging issues. However, I am a firm believer in the power of patience and persistence. I know that with these qualities, I can overcome any obstacle and continue to grow as a professional.

Here you will find a selection of my most interesting projects. Some are related to my research, while others are just for fun. Regardless, I'm proud of all of them and I hope you enjoy exploring them as much as I enjoyed creating them.

Introducing my iPhone app, designed to provide reliable and accurate navigation assistance to visually impaired individuals navigating indoor spaces. Utilizing advanced particle filter technology and programmed in Swift, my app offers a dependable solution for indoor navigation challenges faced by those with visual impairments.

To see the full capabilities of my app, check out thisvideo demonstration. I'm excited to offer this tool to empower and enhance the independence of visually impaired individuals.

• Pretraining BERT on Google TPUA tutorial I wrote to help others take advantage of Google's fast TPUs for pretraining BERT models. With 40 stars, it's been well received!

• MMD Variational AutoencoderA MMD-VAE implemented in Keras, for unsupervised representation learning.

• Chinese Voice SynthesizerA synthesizer developed for several Chinese vtubers. The demo video is available onBilibili.

• VASTA model for separating mixed voices from two Japanese speakers.

• Artificial DDA fun project that sends context-based fake Chinese chat messages. The demo video is available onBilibili.

• Emoticon DiscriminatorA fast implementation of a Naive Bayes classifier for emoticon discrimination.

• Fans KalmanA Kalman filter for predicting the fans of any vtuber.

• Primary Type ClassifierA primary type classifier based on Naive Bayes.

• JPCT DemoA face model render app for Android, with detailed documentation.

I also write tutorials on basic machine learning topics, such as SVM, logistic regression, and Naive Bayes. These are available onBilibili (in Chinese).

If you have any questions or just want to chat about my projects, please feel free to reach out to me via my email. I would love to hear from you and discuss any questions or feedback you may have.

Thank you for visiting my GitHub page, and I look forward to hearing from you soon!

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1. A_Pipeline_Of_Pretraining_Bert_On_Google_TPUA_Pipeline_Of_Pretraining_Bert_On_Google_TPUPublic

   A tutorial of pertaining Bert on your own dataset using google TPU

   Jupyter Notebook 44 3

2. keras-MMD-Variational-Autoencoderkeras-MMD-Variational-AutoencoderPublic

   Keras version of the MMD-Variational-Autoencoder

   Jupyter Notebook 10 5