shu13720902 Goto Github PK

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

generative-models-1

Generative adversarsarial networks

gitcode

ZTS work

gluon-nlp

NLP made easy

gluon-tutorials-zh

通过 MXNet / Gluon 来动手学习深度学习

go-zero

go-zero is a web and rpc framework written in Go. It's born to ensure the stability of the busy sites with resilient design. Builtin goctl greatly improves the development productivity.

go42

《Go语言四十二章经》详细讲述Go语言规范与语法细节及开发中常见的误区，通过研读标准库等经典代码设计模式，启发读者深刻理解Go语言的核心思维，进入Go语言开发的更高阶段。

gods

GoDS (Go Data Structures). Containers (Sets, Lists, Stacks, Maps, Trees), Sets (HashSet, TreeSet, LinkedHashSet), Lists (ArrayList, SinglyLinkedList, DoublyLinkedList), Stacks (LinkedListStack, ArrayStack), Maps (HashMap, TreeMap, HashBidiMap, TreeBidiMap, LinkedHashMap), Trees (RedBlackTree, AVLTree, BTree, BinaryHeap), Comparators, Iterators, Enumerables, Sort, JSON

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

is_that_a_duplicate_quora_question

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

kaggle-question-pairs-quora

My solution for Quora's Question Pair contest on Kaggle.

kaggle-quora-question-pairs

My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).

kaggle-quora-question-pairs-1

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

kungfu

Kungfu Trader

learning-notes

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

leetcode-in-go

Go Solution for LeetCode algorithms problems, 100% coverage.

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

machine-learning-session

machine_learning_practice

机器学习的编程练习

mlcourse.ai

Open Machine Learning Course

models

Models and examples built with TensorFlow

nlp-architect

NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

notebook

Jupyter Interactive Notebook