xinyanyang

Data Scientist @ Procter & Gamble || Stat Major @ UIUC

@procter-gambleGuangzhou

Pinned Repositories

agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
Language:Python00
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
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Coursera_Capstone
This repository contains the content of Coursera course <Applied Data Science Capstone>
Language:Jupyter Notebook0 0 00
CS224N-Stanford-Winter-2019
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！
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data-science-from-scratch
code for Data Science From Scratch book
Language:Python00
Data-Science-Interview-Questions-and-Answers-General-
Data Science Questions and Answers (General) for beginner
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DeepLearning
Deep learning material/HW and projects of IE 534
Language:Python2 0 00
Faster_RCNN
Basic code for faster rcnn model in object detection area
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UIUC-17Fall
The courses taken in 17fall semester at UIUC
Language:SAS00
UIUC-18Spring
The courses I've taken in 2018 Spring at UIUC
Language:Jupyter Notebook10

xinyanyang's Repositories

xinyanyang/DeepLearning
Deep learning material/HW and projects of IE 534
Language:Python2 0 00
xinyanyang/UIUC-18Spring
The courses I've taken in 2018 Spring at UIUC
Language:Jupyter Notebook10
xinyanyang/agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
Language:Python00
xinyanyang/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
0 0 00
xinyanyang/Coursera_Capstone
This repository contains the content of Coursera course <Applied Data Science Capstone>
Language:Jupyter Notebook0 0 00
xinyanyang/CS224N-Stanford-Winter-2019
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！
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xinyanyang/data-science-from-scratch
code for Data Science From Scratch book
Language:Python00
xinyanyang/Faster_RCNN
Basic code for faster rcnn model in object detection area
00
xinyanyang/UIUC-17Fall
The courses taken in 17fall semester at UIUC
Language:SAS00
xinyanyang/data-science-question-answer
A repo for data science related questions and answers
Language:Jupyter Notebook
xinyanyang/deeplearningbook-chinese
Deep Learning Book Chinese Translation
Language:TeX0 0
xinyanyang/DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
xinyanyang/examples
TensorFlow examples
Language:Jupyter Notebook0 0
xinyanyang/GPT-Azure-Search-Engine
Azure Cognitive Search + Azure OpenAI Accelerator
xinyanyang/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Language:Jupyter Notebook
xinyanyang/jupyter
Jupyter metapackage for installation, docs and chat
Language:Python
xinyanyang/leetcode
Keep moving
Language:Jupyter Notebook
xinyanyang/leetCode-1
:pencil2: 算法相关知识储备 LeetCode with Python :books:
Language:Python
xinyanyang/models
Models and examples built with TensorFlow
Language:Python
xinyanyang/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Language:Python
xinyanyang/r4sl
:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R
Language:Shell
xinyanyang/resume
An elegant \LaTeX\ résumé template
xinyanyang/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
xinyanyang/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
xinyanyang/Statistical_Learning
statistical learning algorithms from scratch
Language:Python
xinyanyang/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Language:R
xinyanyang/tensorflow
Computation using data flow graphs for scalable machine learning
Language:C++
xinyanyang/UdemyLearning
The courses taken on Udemy
Language:Jupyter Notebook
xinyanyang/vision
Datasets, Transforms and Models specific to Computer Vision
Language:Jupyter Notebook
xinyanyang/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow