Pinned Repositories
AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
argo-client-python
Python client for Argo Workflows
argo-workflows
Workflow engine for Kubernetes
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
RecLearn
Recommender Learning with Tensorflow2.x
tammytang.github.io
Tammy's personal website
UCR_Course_Projects
Display the course projects I have been worked on.
visualizing-git
:framed_picture: Visualize how common Git operations affect the commit graph
tammysilva's Repositories
tammysilva/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
tammysilva/argo-workflows
Workflow engine for Kubernetes
tammysilva/RecLearn
Recommender Learning with Tensorflow2.x
tammysilva/tammytang.github.io
Tammy's personal website
tammysilva/UCR_Course_Projects
Display the course projects I have been worked on.
tammysilva/Awesome-RSPapers
Recommender System Papers
tammysilva/Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
tammysilva/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.
tammysilva/chart-doctor
Sample files to accompany the FT's Chart Doctor column
tammysilva/couler
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
tammysilva/dcassol.github.io
tammysilva/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
tammysilva/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
tammysilva/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
tammysilva/dlrm
An implementation of a deep learning recommendation model (DLRM)
tammysilva/genral_HW
tammysilva/jekyll_ghpages
tammysilva/LaiLab
Bootcamp Labs
tammysilva/ML-algos
K-means
tammysilva/Multidimensional_Data_Analysis
A workshop in python to explore concepts such as data visualization, multivariable linear regression, principal component analysis, and k means clustering.
tammysilva/numpy-100
100 numpy exercises (with solutions)
tammysilva/RecBole
A unified, comprehensive and efficient recommendation library
tammysilva/shap
A game theoretic approach to explain the output of any machine learning model.
tammysilva/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
tammysilva/tammyts.github.io
Tammy's personal website
tammysilva/torchrec
Pytorch domain library for recommendation systems
tammysilva/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
tammysilva/tweepy
Twitter for Python!
tammysilva/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
tammysilva/workshop_getting_started_with_textual_data
Reader for the Getting Started with Textual Data workshop series