haiyuni
I am Si Fenghan from China University of Mining and Technology (202201015462). Passionate student ready to learn and contribute to the academic community
Pinned Repositories
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)
haiyuni's Repositories
haiyuni/AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
haiyuni/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
haiyuni/BooksKeeper
对各类图书资源的收集。大量计算机、AI方面书籍。
haiyuni/DALEX
moDel Agnostic Language for Exploration and eXplanation
haiyuni/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)
haiyuni/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.
haiyuni/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
haiyuni/deeplearning
深度学习相关的模型训练、评估和预测相关代码
haiyuni/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
haiyuni/dtale
Visualizer for pandas data structures
haiyuni/elephas
Distributed Deep learning with Keras & Spark
haiyuni/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction
haiyuni/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
haiyuni/Jash-good-idea-20200304-001
耕莘護專 ~ 示範的3D口罩折法(Jash-good-idea-20200304-001)
haiyuni/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.
haiyuni/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
haiyuni/pycaret
An open-source, low-code machine learning library in Python
haiyuni/Rath
Next generation of automated data exploratory analysis and visualization platform.
haiyuni/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.
haiyuni/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!
haiyuni/RSPapers
A Curated List of Must-read Papers on Recommender System.
haiyuni/sberbank-catboost
haiyuni/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
haiyuni/statistic
collecting books, papers and docs.
haiyuni/talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
haiyuni/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。
haiyuni/tensorflow-tabnet
Improved TabNet for TensorFlow
haiyuni/tf2-widedeep
haiyuni/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
haiyuni/voila
Voilà turns Jupyter notebooks into standalone web applications