haiyuni Goto Github PK

autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bookskeeper

对各类图书资源的收集。大量计算机、AI方面书籍。

comparison-of-amazon-machine-learning-spark-h2o-sparkling-water

Evaluating 3 key machine learning platforms; Spark ML (PySpark), Amazon ML and H2O.

dalex

moDel Agnostic Language for Exploration and eXplanation

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dtale

Visualizer for pandas data structures

elephas

Distributed Deep learning with Keras & Spark

fuxictr

A configurable, tunable, and reproducible library for CTR prediction

interpretable-machine-learning-with-python

Interpretable Machine Learning with Python, published by Packt

jash-good-idea-20200304-001

耕莘護專 ~ 示範的3D口罩折法(Jash-good-idea-20200304-001)

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

ml-study

自己整理了一些ML入门的知识，以及ML项目中的一些经验总结分享

pycaret

An open-source, low-code machine learning library in Python

rath

Next generation of automated data exploratory analysis and visualization platform.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

recommend-system-tf2.0

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

rspapers

A Curated List of Must-read Papers on Recommender System.

sberbank-catboost

skutil

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

statistic

collecting books, papers and docs.

talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

tech_aarticle

主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

tensorflow-tabnet

Improved TabNet for TensorFlow

tf2-widedeep

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.