Cuixiaolong's starred repositories
interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
deeplearning-models
A collection of various deep learning architectures, models, and tips
pandoc-latex-template
A pandoc LaTeX template to convert markdown files to PDF or LaTeX.
KnowledgeGraphData
史上最大规模1.4亿中文知识图谱开源下载
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
matlab2tikz
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
matconvnet
MatConvNet: CNNs for MATLAB
awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
mysql-tutorial
🌱 This is a tutorial of MySQL. In this tutorial, you can leran how to use MySQL and optimize SQL.
thulib-latex-talk
《如何使用 LaTeX 排版论文》讲稿
pgfmanual-zh
PGF/TikZ 中文手册
deep-rules
Ten Quick Tips for Deep Learning in Biology
SignalGraph
Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.
tennessee-eastman-profBraatz
The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).
SoundZone_Tools
Signal Processing Tools for MATLAB
MEMD-Python-
Python version of the Multivariate Empirical Mode Decomposition algorithm
Vibration-Signal-Analysis
Analyze vibration/shock signal using python spicy, bumpy and python
memeff_TFDs
fast and memory-efficient algorithms for computing time-frequency distributions