• Stars
    star
    189
  • Rank 203,431 (Top 5 %)
  • Language
    Jupyter Notebook
  • Created over 6 years ago
  • Updated over 5 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

Content

机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

book

  1. book\Advanced Data Analytics Using Python.pdf
  2. book\Beginning Application Development with TensorFlow and Keras(路易斯卡佩罗).pdf
  3. book\Data Science from Scratch(格鲁斯).pdf
  4. book\Deep Learning Cookbook(杜维奥辛加).pdf
  5. book\Deep Learning with Keras(安东尼奥古里).pdf
  6. book\Deep Learning with Python(弗朗索瓦·克里特).pdf
  7. book\Deep Learning with TensorFlow - Second Edition(吉安卡洛扎康).pdf
  8. book\Feature_Engineering_for_Machine_Learning().pdf
  9. book\Hands-on Machine Learning with Scikit Learn Keras and TensorFlow 2nd Edition(预览版).pdf
  10. book\hands-on-ml-with-sklearn-and-tf(中文版).pdf
  11. book\hands-on-ml-with-sklearn-and-tf.pdf
  12. book\Learning TensorFlow_A GUIDE TO BUILDING DEEP LEARNING SYSTEMS(汤姆).pdf
  13. book\Machine Learning with Python Cookbook(克里斯 阿尔邦).pdf
  14. book\Machine Learning with Python(阿布舍克获胜).pdf
  15. book\machine learning with tensorflow(尼肖特舒克拉).pdf
  16. book\ML少女卡.pdf
  17. book\Python for Data Analysis(韦斯·麦金尼).pdf
  18. book\Python_Data_Science_Handbook(杰克范德普拉斯).pdf
  19. book\Python神经网络编程(塔里克•拉希德).pdf
  20. book\Reinforcement Learning(阿布什克南提).pdf
  21. book\TensorFlow for Deep Learning (雷扎扎德).pdf
  22. book\《神经网络与深度学习》(Michael Nielsen).pdf
  23. book\李宏毅—1天搞懂深度学习.pdf
  24. book\神经网络与深度学习(邱锡鹏).pdf
  25. book\deeplearning(Ian Goodfellow)\deeplearning(Ian Goodfellow).pdf
  26. book\Keras\Deep Learning with Applications Using Python with Keras(库马尔-马纳西).pdf
  27. book\Keras\First contact with Deep Learning Practical introd.pdf
  28. book\Python语言\Foudamentals_of_Python_Programming(Richard L 2018726).pdf
  29. book\Python语言\Python语言小册.pdf
  30. book\TensorFlow\Pro Deep Learning with TensorFlow(桑塔努帕塔纳亚克).pdf
  31. book\TensorFlow\TensorFlow-Machine-Learning-Cookbook(尼克·麦克卢尔).pdf
  32. book\TensorFlow\tensorflow原理剖析.pdf
  33. book\强化学习\Reinforcement Learning with Tensorflow(conv).pdf
  34. book\强化学习\Reinforcement Learning.pdf
  35. book\强化学习\Reinforcement_Learning_An_Introduction(李察·S·萨顿).pdf
  36. book\强化学习\阿里强化学习技术.pdf
  37. book\机器学习\Practical Artificial Intelligence.pdf
  38. book\机器学习\Pro Machine Learning Algorithms.pdf
  39. book\机器学习\Python for Data Analysis, 2nd Edition.pdf
  40. book\机器学习\Think Complexity, 2nd Edition.pdf
  41. book\机器学习\模式识别与机器学习PRML\Bishop - Pattern Recognition And Machine Learning - Springer 2006.pdf
  42. book\机器学习\模式识别与机器学习PRML\Pattern Recognition and Machine Learning(教师版完整答案).pdf
  43. book\机器学习\模式识别与机器学习PRML\Solution Manual For PRML(学生版前三章答案).pdf
  44. book\机器学习\模式识别与机器学习PRML\《PRML:模式识别与机器学习(中文版)》.pdf
  45. book\概率论与数理统计\LDA数学八卦.pdf
  46. book\概率论与数理统计\Statistical Data Science(尼尔亚当斯).pdf
  47. book\知识图谱\知识图谱发展报告2018.pdf
  48. book\知识图谱\知识图谱结合深度学习_肖仰华_2017.pdf
  49. book\自然语言处理\Deep Learning for Natural Language Processing(帕尔什古耶).pdf
  50. book\自然语言处理\Deep_Learning_in_Natural_Language_Processing(邓力、刘洋).pdf
  51. book\自然语言处理\Hands-On Natural Language Processing with Python(拉杰什阿鲁姆加姆).pdf
  52. book\自然语言处理\Pro Deep Learning with TensorFlow(桑塔努帕塔纳亚克).pdf
  53. book\计算机视觉\Deep Learning for Computer Vision with Python(阿德里安·罗斯布洛克).pdf

Courseware

  1. PyTorchZeroToAll
  2. 变分自编码器
  3. 清华-中国工程院知识智能联合实验室发布「2018自然语言处理研究报告」
  4. 香港科技大学TensorFlow三天速成课件

More Repositories

1

DeepImage-an-Image-to-Image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
Python
5,168
star
2

Entity-Relation-Extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
Python
1,214
star
3

Machine-Learning-Book

《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!
Jupyter Notebook
1,031
star
4

BERT_Paper_Chinese_Translation

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!
677
star
5

BERT-for-Sequence-Labeling-and-Text-Classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.
Python
465
star
6

Multiple-Relations-Extraction-Only-Look-Once

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型,可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
Python
345
star
7

Schema-based-Knowledge-Extraction

Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。
Python
283
star
8

Multimodal-short-video-dataset-and-baseline-classification-model

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型(TensorFlow2.0)。
Jupyter Notebook
125
star
9

Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。
Python
77
star
10

Find-a-Machine-Learning-Job

找一份机器学习工作(算法工程师),需要提纲(算法能力)挈领(编程能力),充分准备。 本人学习和在找工作期间受到了很多前辈们的帮助,目前已经找到心仪的工作,撰写此文献给那些在求职路上有梦有汗水的人们!2020秋招算法,难度剧增!没有选择,只能迎难而上。
65
star
11

XLNet_Paper_Chinese_Translation

XLNet: Generalized Autoregressive Pretraining for Language Understanding 论文的中文翻译 Paper Chinese Translation!
50
star
12

Slot-Filling-and-Intention-Prediction-in-Paper-Translation

槽填充、意图预测(口语理解)论文整理和中文翻译。Slot filling and intent prediction paper collation and Chinese translation.
49
star
13

SMP2018

SMP2018中文人机对话技术评测(ECDT)
Jupyter Notebook
47
star
14

fan-ren-xiu-xian-zhuan

凡人修仙传(fanrenxiuxianzhuan)的资源汇总,谨献给“凡友”们。
Python
45
star
15

Image-Captioning

CNN-Encoder and RNN-Decoder (Bahdanau Attention) for image caption or image to text on MS-COCO dataset. 图片描述
Jupyter Notebook
35
star
16

ELMo

ELMo: Embeddings from Language Models. Using, visualizing and understanding EMLo by examples!
Jupyter Notebook
32
star
17

Text-generation-task-and-language-model-GPT2

solve text generation tasks by the language model GPT2, including papers, code, demo demos, and hands-on tutorials. 使用语言模型GPT2来解决文本生成任务的资源,包括论文、代码、展示demo和动手教程。
29
star
18

Transformer_implementation_and_application

The 300 lines of code (Tensorflow 2) completely replicates the Transformer model and is used in neural machine translation tasks and chat bots. 300行代码(Tensorflow 2)完整复现了Transformer模型,并且应用在神经机器翻译任务和聊天机器人上。
Jupyter Notebook
26
star
19

yuanxiaosc.github.io

个人博客;论文;机器学习;深度学习;Python学习;C++学习;
HTML
21
star
20

CPlusPlus-Programming-Language-Foundation

《CPlusPlus编程语言基础》又称为“C加加知识树”,用树状思维导图的形式展现C++从业人员必备的所有C++基础知识。
21
star
21

Keras_Attention_Seq2Seq

A sequence-to-sequence framework of Keras-based generative attention mechanisms that humans can read.一个人类可以阅读的基于Keras的代注意力机制的序列到序列的框架/模型,或许你不用写复杂的代码,直接使用吧。
Python
18
star
22

Deep_dynamic_contextualized_word_representation

TensorFlow code and pre-trained models for A Dynamic Word Representation Model Based on Deep Context. It combines the idea of BERT model and ELMo's deep context word representation.
Python
16
star
23

Path-Classification-Experiment

Introduction to Data Analysis: Path Classification Experiment. 本资源以选择最优路径为例详细介绍了如何解决一般的分类问题,包括原始数据的探索、模型的构建、模型调优和模型预测分析。包含前馈神经网络(Keras)、机器学习模型(sklearn)和绘制数据图表(matplotlib)的基础使用。
Jupyter Notebook
13
star
24

Deep-Convolutional-Generative-Adversarial-Network

Tensorflow 2. This repository demonstrates how to generate images of handwritten digits (MINIST) using a Deep Convolutional Generative Adversarial Network (DCGAN). 深度卷积生成对抗网络
Jupyter Notebook
9
star
25

NLPCC2019-Conference-Materials

NLPCC2019会议资料分享:论文投稿信息总结、NLP当前研究内容和趋势、学者演讲、海报、公司介绍和招聘信息。
7
star
26

Slot-Gated-Modeling-for-Joint-Slot-Filling-and-Intent-Prediction

Code parsing and paper parsing for "Slot-Gated Modeling for Joint Slot Filling and Intent Prediction"
Python
5
star
27

Image_to_Text

Taking the image description task on the MS-COCO data set as an example, the template code of Image_to_Text is shown.
Jupyter Notebook
5
star
28

Seq2Seq-English-French-Machine-Translation-Model

Seq2Seq English-French Machine Translation Model
Python
5
star
29

Hands-on-chat-robots

There are a variety of out-of-the-box chat bot codes here.
Jupyter Notebook
3
star