GZHU-YangPeng

GZHU-YangPeng's Stars

• dange-academic/networkx_example_code

  NetworkX programming practice basic course source code

  Language:Jupyter Notebook6314

• Visualize-ML/Book3_Elements-of-Mathematics

  Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

  Language:Python6.3k1.1k

• Visualize-ML/Book2_Beauty-of-Data-Visualization

  Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正

  Language:Jupyter Notebook2.7k555

• Visualize-ML/Book1_Python-For-Beginners

  Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！

  Language:Jupyter Notebook4.6k895

• jbornschein/mpi4py-examples

  mpi4py examples

  Language:Python366111

• datawhalechina/team-learning-data-mining

  主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

  Language:Jupyter Notebook1.6k812

• luanshiyinyang/DataMining

  Data Analysis and Mining(数据分析与挖掘)

  Language:Python289166

• tangyudi/Ai-Learn

  人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

  9.6k2.2k

• seizeeveryday/DA-cases

  Language:Jupyter Notebook166192

• OpenMined/PyDP

  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

  Language:Python503139

• heucoder/dimensionality_reduction_alo_codes

  特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

  Language:Python2.3k620

• RabbitWhite1/Mathematical-Modeling-In-Python

  用Python实现了《数学建模算法与应用》第二版中的部分示例代码. (原书中使用的是Matlab)

  Language:Jupyter Notebook18334

• GZHU-YangPeng/Machine-Learning-for-Beginner-by-Python3

  为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。

  Language:Python1

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.9k2.8k

• PaddlePaddle/VisualDL

  Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

  Language:HTML4.8k627

• jiqizhixin/ML-Tutorial-Experiment

  Coding the Machine Learning Tutorial for Learning to Learn

  Language:Jupyter Notebook2.5k734

• OUCMachineLearning/OUCML

  Language:Python4.6k1.3k

• korbinZhang/python-encrypt

  md5，sha256哈希。aes，des，rsa，ecc加密算法

  Language:Python4321

• rohithteja/Twitter-Sentiment-Analysis-and-Tweet-Extraction

  Tweet sentiment analysis using various deep learning algorithms ranging from MLP, CNN, RNN to Transformers

  Language:Jupyter Notebook128

• 52CV/CVPR-2021-Papers

  2.5k312

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k352

• tianshuichen/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  4

• giorgiop/loss-correction

  Robust loss functions for deep neural networks (CVPR 2017)

  Language:Python8818

• ljmiao/PENCIL

  implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'

  Language:Python163

• GarrettLee/label_noise_correction

  Implementation of paper: Making Deep Neural Network Robust to Label Noise: a Loss Correction Approach.

  Language:Python234