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A generative world for general-purpose robotics & embodied AI learning.
《Effective Modern C++》- 完成翻译
AS608 full function driver library for general MCU and Linux.
A machine learning compiler for GPUs, CPUs, and ML accelerators
透過數位邏輯結合VHDL與Verilog的過程，作為從基礎數位邏輯到計算機系統結構，並實作出一顆CPU的教學書籍，希望未來可以成為教學範例檔案。目前將開發轉移到GitLab，因為可以呈現數學與MUL圖。
透過數位邏輯結合VHDL與Verilog的過程，作為從基礎數位邏輯到計算機系統結構，並實作出一顆CPU的教學書籍，希望未來可以成為教學範例檔案。目前將開發轉移到GitLab，因為可以呈現數學與MUL圖。
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
Face Anti-Spoofing project. Lanit-Tercom summer school 2022
Supporting PyTorch models with the Google AI Edge TFLite runtime.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database
Hardware accelerator for convolutional neural networks
CNN hardware accelerator to accelerate quantized LeNet-5 model
A latent text-to-image diffusion model
Implement AI Trading Strategies with Backtrader
12 Weeks, 24 Lessons, AI for All!
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Yolo to COCO annotation format converter
OpenNuvoton / pyOCD
Forked from pyocd/pyOCDOpen source Python library for programming and debugging Arm Cortex-M microcontrollers using CMSIS-DAP
TensorFlow Lite models for MIRNet for low-light image enhancement.
LibrosaCpp is a c++ implemention of librosa to compute short-time fourier transform coefficients,mel spectrogram or mfcc
Windows compile of bitsandbytes for use in text-generation-webui.
NuMicro software development tools (IDE, debug adapter, configuration tools, programmer, etc.)
TinyML example showing how to do anomaly detection with Python and Arduino
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.