xiemeigongzi88

xiemeigongzi88's Stars

• zergtant/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

  Language:Jupyter Notebook20.2k531835.4k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook18.9k537496.3k

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.2k3871495.4k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16k4323.2k6.9k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.3k566162.8k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.3k457503.7k

• chenyuntc/pytorch-book

  PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

  Language:Jupyter Notebook12k2812183.7k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11k309302.9k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.2k293993.6k

• beamandrew/medical-data

  5.8k337211.1k

• WenDesi/lihang_book_algorithm

  致力于将李航博士《统计学习方法》一书中所有算法实现一遍

  Language:Python5.7k221122k

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.2k165211.2k

• INTERMT/Awesome-PyTorch-Chinese

  【干货】史上最全的PyTorch学习资源汇总

  Language:Python4.2k970808

• yanshengjia/ml-road

  Machine Learning Resources, Practice and Research

  Language:Python3.3k14111.2k

• dragen1860/Deep-Learning-with-PyTorch-Tutorials

  深度学习与PyTorch入门实战视频教程 配套源代码和PPT

  Language:Python2.8k70121.3k

• xavier-zy/Awesome-pytorch-list-CNVersion

  Awesome-pytorch-list 翻译工作进行中......

  Language:Jupyter Notebook1.7k660395

• alicezheng/feature-engineering-book

  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

  Language:Jupyter Notebook1.4k6014670

• Yimeng-Zhang/feature-engineering-and-feature-selection

  A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

  Language:Jupyter Notebook1.4k288409

• rasbt/stat479-machine-learning-fs19

  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

  Language:Jupyter Notebook6971243233

• deanwampler/JustEnoughScalaForSpark

  A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

  Language:Jupyter Notebook673565205

• yacoubb/stock-trading-ml

  A stock trading bot that uses machine learning to make price predictions.

  Language:Python5975727254

• TannerGilbert/Tutorials

  Code for some of my articles

  Language:Jupyter Notebook5603836632

• kabacoff/RiA2

  Source code for R in Action, Second Edition

  Language:R393591358

• nick6918/MyDeepLearning

  A deep learning library to provide algs in pure Numpy or Tensorflow.

  Language:Python29218156

• Finance-781/FinML

  Financial Machine Learning

  Language:Jupyter Notebook1488055

• DataForScience/DeepLearning

  Deep Learning From Scratch

  Language:Jupyter Notebook136140108

• niudd/kaggle-cloud

  Language:Jupyter Notebook1216036

• arthurredfern/UT-Dallas-CS-6301-CNNs

  Deep Learning Class

  Language:Python10227045

• TommyZihao/EasyLung

  从X光胸片医疗影像中AI智能识别肺炎及病原体种类的辅助诊断平台，包含网页、微信小程序、APP。

  867125

• stat115/Homework_2020

  Homeworks

  Language:HTML4213051