TammyS.'s repositories
tammyts.github.io
Tammy's personal website
tammytang.github.io
Tammy's personal website
tweepy
Twitter for Python!
chart-doctor
Sample files to accompany the FT's Chart Doctor column
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
shap
A game theoretic approach to explain the output of any machine learning model.
ML-algos
K-means
RecLearn
Recommender Learning with Tensorflow2.x
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
dlrm
An implementation of a deep learning recommendation model (DLRM)
UCR_Course_Projects
Display the course projects I have been worked on.
RecBole
A unified, comprehensive and efficient recommendation library
AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
torchrec
Pytorch domain library for recommendation systems
workshop_getting_started_with_textual_data
Reader for the Getting Started with Textual Data workshop series
Multidimensional_Data_Analysis
A workshop in python to explore concepts such as data visualization, multivariable linear regression, principal component analysis, and k means clustering.
numpy-100
100 numpy exercises (with solutions)
categorical_data_analysis
This is a workshop I developed on how to analyze categorical data. This workshop is a combination of a presentation and code in R. This includes data wrangling, visualization, bayesian statistics, and logistic regression.
Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Awesome-RSPapers
Recommender System Papers
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
argo-workflows
Workflow engine for Kubernetes
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
LaiLab
Bootcamp Labs
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
couler
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.