Pinned Repositories
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Machine-Learning-Session
ALILS
AWRGNILM
Adaptive Recurrence Graph for Appliance classification in NILM.
bolt
10x faster matrix and vector operations.
CQU-Beamer-LaTex
CQU的PPT模板
CQUST-Beamer-LaTex
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
SCI-writing
SCI，论文写作书籍
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Wusir2018's Repositories
Wusir2018/CQU-Beamer-LaTex
CQU的PPT模板
Wusir2018/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Wusir2018/SCI-writing
SCI，论文写作书籍
Wusir2018/ALILS
Wusir2018/AWRGNILM
Adaptive Recurrence Graph for Appliance classification in NILM.
Wusir2018/bolt
10x faster matrix and vector operations.
Wusir2018/CQUST-Beamer-LaTex
Wusir2018/Deep-Learning-with-TensorFlow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Wusir2018/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Wusir2018/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Wusir2018/ELECTRIcity_NILM
Wusir2018/interpy-zh
📘《Python进阶》（Intermediate Python 中文版）
Wusir2018/libsndfile-binaries
Pre-compiled shared libraries for libsndfile pysoundfile的相关东西，https://blog.csdn.net/weixin_43430848/article/details/125987907
Wusir2018/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Wusir2018/LoadIdentification
This one is Leos load identification
Wusir2018/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
Wusir2018/MATNilm
Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data
Wusir2018/PicBed
Wusir2018/PKINet
Official implementation of CVPR2024 Paper "Poly Kernel Inception Network for Remote Sensing Detection".
Wusir2018/pykan
Kolmogorov Arnold Networks
Wusir2018/SCU-Beamer-Theme
四川大学非官方Beamer模板 | Unofficial Beamer Template for Sichuan University
Wusir2018/software-plugins
常用软件的插件
Wusir2018/stable-diffusion-model-tutorial
An easy guide to stable diffusion models.
Wusir2018/STLF_framework
a unifying deep learning framework for short-term load forecasting
Wusir2018/VAE-NILM
Non-Intrusive Load Monitoring based on VAE model
Wusir2018/Wusir2018
Wusir2018/Wusir2018.github.io
Wusir2018/X-KANeRF
X-KANeRF [KANeRF-benchmarking]: KAN based NeRF with various basis functions like B-Splines, Fourier, Gaussians, Wavelets, Polynomials, etc
Wusir2018/yolov9mit
An MIT rewrite of YOLOv9
Wusir2018/you-get
:arrow_double_down: Dumb downloader that scrapes the web