Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Avem
🚁 轻量级无人机飞控-[Drone]-[STM32]-[PID]-[BLDC]
Books_MechineLearning
BigData_Books
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
DeepLearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
desk_calendar
PCB墨水屏的桌面台历,使用了RT-Thread+联盛德W600。
Fooocus
Focus on prompting and generating
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
libopencm3
Open source ARM Cortex-M microcontroller library
yubaba666's Repositories
yubaba666/Books_MechineLearning
BigData_Books
yubaba666/Fooocus
Focus on prompting and generating
yubaba666/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
yubaba666/libopencm3
Open source ARM Cortex-M microcontroller library
yubaba666/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
yubaba666/Avem
🚁 轻量级无人机飞控-[Drone]-[STM32]-[PID]-[BLDC]
yubaba666/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
yubaba666/conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
yubaba666/DeepLearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
yubaba666/desk_calendar
PCB墨水屏的桌面台历,使用了RT-Thread+联盛德W600。
yubaba666/esp32_network123
一个基于esp32的简单的透传模块小demo
yubaba666/fastai
The fastai deep learning library
yubaba666/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
yubaba666/RingBuffer
基于C语言开发的轻量级环形缓冲区