wallace-163's repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Code
运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。
Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
DA-RNN-1
📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
MQRNN
Multi-Quantile Recurrent Neural Network for Quantile Regression
DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
pyspark-setup-demo
Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks
decisiontree-randomforest-adaboost-GBDT-xgboost-lightGBM-catBoost
Focus on decision tree and derivatives
TensorFlow2.0-Notes
Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。
BDC2020
海运ETA预测，赛题本身诟病比较多，参考一下folium用法和一些思路就好
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
Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
FudanUniversity-DataMining
2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)
tianshou
An elegant, flexible, and superfast PyTorch deep reinforcement learning platform. (For previewed features, please checkout the "dev" branch)
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
blog-articles
放置 ethsonliu.com 下所有文章的 markdown 原文 。
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ML-notes
notes about machine learning
apache-spark-lightgbm
Apache Spark LightGBM example
tf2_deepfm
tensorflow2.0 实现的 DeepFM，使用 Criteo 子数据集加以实践。
spinningup
An educational resource to help anyone learn deep reinforcement learning.
anticipy
A Python library for time series forecasting
torch-summary
View model summaries in PyTorch!
market-toolkit
A collection of stock market resources and tools
LeetCode
LeetCode solutions with Chinese explanation & Summary of classic algorithms.