Pinned Repositories
advanced-cplusplus
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Analyster
awesome-math
A curated list of awesome mathematics resources
EgoNet
Subnetwork selection from large-scale biological network based on gene expression data
Machine-learning-in-action
个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接
ocropy
Python-based tools for document analysis and OCR
Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
wrenwrenwren's Repositories
wrenwrenwren/advanced-cplusplus
wrenwrenwren/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
wrenwrenwren/Machine-learning-in-action
个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释
wrenwrenwren/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接
wrenwrenwren/Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
wrenwrenwren/carbide
wrenwrenwren/Carbide-ONS
wrenwrenwren/darwin
Evolutionary Algorithms Framework
wrenwrenwren/date
A date and time library based on the C++11/14/17 <chrono> header
wrenwrenwren/deep-learning-notes
My CS231n lecture notes
wrenwrenwren/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
wrenwrenwren/High-Frequency-Trading-Simulation-System
HFT, A high-frequency trading simulation package in R
wrenwrenwren/Java
All Algorithms implemented in Java
wrenwrenwren/Keras-Reinforcement-Learning-Projects
Keras Reinforcement Learning Projects published by Packt
wrenwrenwren/Linux_System_Programming
APUE读书笔记
wrenwrenwren/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
wrenwrenwren/machine_learning_examples
A collection of machine learning examples and tutorials.
wrenwrenwren/magenta
Magenta: Music and Art Generation with Machine Intelligence
wrenwrenwren/ML-and-DM-in-action
Share my code during learning machine learning and data mining
wrenwrenwren/nitroshare-desktop
Network file transfer application for Windows, OS X, & Linux
wrenwrenwren/probability
Probabilistic reasoning and statistical analysis in TensorFlow
wrenwrenwren/pyalgotrade
Python Algorithmic Trading Library
wrenwrenwren/pywr
wrenwrenwren/serenity
The Serenity Operating System 🐞
wrenwrenwren/Simple-Bokeh-Flask-Example
wrenwrenwren/static-frame
The StaticFrame library consists of the Series and Frame, immutable data structures for one- and two-dimensional calculations with self-aligning, labelled axes.
wrenwrenwren/statsmodels
Statsmodels: statistical modeling and econometrics in Python
wrenwrenwren/stock
30天掌握量化交易 (待更新)
wrenwrenwren/v20-python-samples
Sample python code that uses the v20 python library
wrenwrenwren/wrenwrenwren.github.io