cpuimage / baidu_asr Goto Github PK

Hi, I am ZhiHan Gao, living in Shantou, China.

I write open source projects about audio and image algorthms in github.

If you like my open source projects, and useful for you，

please consider buying me a coffee.

Thank you for your support!

Talking about Personal Stuffs:

• 👨🏽‍💻 I have worked for Baidu, KingSoft, etc.
• 🌱 I’m currently working on
  • Deep Learning
    • A Trimap-Free Solution for Real-Time Automatic Portrait Matting on Mobile Devices
    • A Robust Optimizer With Normalized Accelerated Convergence Capability in Deep Learning
    • A General and Adaptive Robust Loss Structure Scheme
    • A Robust Loss Weighting Solution For Learning Long-Tail Data
    • Image Synthesis and Semantic Manipulation Using Stable Diffusion Networks
    • Stable Diffusion Architecture Optimization And Deployment On Mobile Devices
    • A Robust Solution For Accelerated Training Convergence And Learning Long-Tail Data
    • A Arbitrary Resolution Super Resolution Solution for Real World
    • Accelerate Stable Diffusion FP16 Inference Deployment Optimization with TensorRT
    • Port Stable Diffusion X4 Upscaler To TensorFlow And Support FP16 Inference Deployment
    • Port Stable Diffusion PromptGen (GPT2) To TensorFlow And Support ONNX Inference Deployment
    • Improve Batch Normalization for Robust Training and Inference
    • Stable Diffusion Architectural Distillation
    • Content-aware 3-view synthesis based on Stable Diffusion in Game Art
    • Super Resolution Solution based on Stable Diffusion
    • Video Editing techniques based on Stable Diffusion
    • Port Stable Diffusion XL 1.0 To TensorFlow And Support FP16 Inference Deployment
    • A Plug-And-Play Algorithm For Asynchronous Inference With Frequency-Domain Decomposable Reconstruction For Arbitrary Visual Scenes
    • Stable Diffusion Inference With PyTorch Weights And More Features Like Stable Diffusion Web UI In Keras 3.x
    • Port FLUX.1 To Keras 3.x
    • FLUX.1 Support FP16 Inference Deployment and Low Memory Lora Training In PyTorch
  • Statistical Algorithms
    • Real time and embedded implementation of speech enhancement algorithms based on Minimum Mean-Square Error Short-Time Spectral Amplitude estimation (MMSE-STSA)
• 👯 I’m looking to collaborate on audio and image algorithms
  • 🤔 Reach me on
    • 
    • 
    • 
• 💬 Any paid technical service or solution consulting
  • 📫 Reach me on mail:
    •