Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
CSCI-6730-Operating-System
csci8360-projects
This is a course project in CSCI8360 at University of Georgia
Elements-of-Statistical-Learning
Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
FaceBook-Intern-Leetcode
interactive-coding-challenges
Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Learn-Java-the-Hard-Way
Learning Java
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn
scikit-learn: machine learning in Python
iamxiaodong's Repositories
iamxiaodong/Learn-Java-the-Hard-Way
Learning Java
iamxiaodong/CSCI-6730-Operating-System
iamxiaodong/csci8360-projects
This is a course project in CSCI8360 at University of Georgia
iamxiaodong/FaceBook-Intern-Leetcode
iamxiaodong/interactive-coding-challenges
Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
iamxiaodong/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
iamxiaodong/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
iamxiaodong/caffe
Caffe: a fast open framework for deep learning.
iamxiaodong/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
iamxiaodong/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
iamxiaodong/auto-sklearn
iamxiaodong/awesome-network-analysis
A curated list of awesome network analysis resources.
iamxiaodong/conf
A collection of talks and tutorials from conferences I attend
iamxiaodong/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
iamxiaodong/convertdate
Utils for converting between date formats and calculating holidays
iamxiaodong/dask
Task scheduling and blocked algorithms for parallel processing
iamxiaodong/fast_rgf
Multi-core implementation of Regularized Greedy Forest
iamxiaodong/gcn
Implementation of Graph Convolutional Networks in TensorFlow
iamxiaodong/iexfinance
Python wrapper for the Investor's Exchange (IEX) Developer API (https://iextrading.com/developer/)
iamxiaodong/LearnJava
Learn Java Programming
iamxiaodong/LeetCode
:pencil: Python / C++ 11 Solutions of All 418 LeetCode Questions
iamxiaodong/Machine-Learning-For-Trading
Code for course: https://classroom.udacity.com/courses/ud501 (Completed!)
iamxiaodong/mobike-crawler
iamxiaodong/mpitutorial
MPI programming lessons in C and executable code examples
iamxiaodong/pygcn
Graph Convolutional Networks in PyTorch
iamxiaodong/python-holidays
Generate and work with holidays in Python
iamxiaodong/relational-gcn
Keras-based implementation of Relational Graph Convolutional Networks
iamxiaodong/scrapyWoSJournals
iamxiaodong/spark
Mirror of Apache Spark
iamxiaodong/unix-text-commands
Unix Text Processing Command Reference