Pinned Repositories
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
andrew_ng_deep_learning
Deep Learning Specialization by Andrew Ng on Coursera.
asm_condition_code
awesome-database-learning
A list of learning materials to understand databases internals
awesome-quant-papers
This repository hosts my reading notes for academic papers.
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
DRL
Deep Reinforcement Learning
leetcode-python
Leetcode Python Solution and Explanation. Also a Guide to Prepare for Software Engineer Interview.
lihang-code
《统计学习方法》的代码实现
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
aiyuyun2015's Repositories
aiyuyun2015/csapp_v1
aiyuyun2015/home_work
aiyuyun2015/asm_condition_code
aiyuyun2015/csapp-code-2e
csapp 2 edition source code
aiyuyun2015/multithread
aiyuyun2015/muduo
Event-driven network library for multi-threaded Linux server in C++11
aiyuyun2015/tutorials
PyTorch tutorials.
aiyuyun2015/tensor_flow
aiyuyun2015/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
aiyuyun2015/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
aiyuyun2015/go-binance-local-orderbook
Manage a local order book.
aiyuyun2015/C-C-
程序员相关电子书资料免费分享，欢迎关注个人微信公众号：程序员编程指南
aiyuyun2015/python3-cookbook
《Python Cookbook》 3rd Edition Translation
aiyuyun2015/scipy-2015-cython-tutorial
Content for the SciPy 2015 Cython tutorial: http://www.scipy2015.scipy.org/ehome/115969/289057/?&
aiyuyun2015/awesome-quant-papers
This repository hosts my reading notes for academic papers.
aiyuyun2015/vue_basic
aiyuyun2015/dom_scripting
aiyuyun2015/stock_jupyter
aiyuyun2015/lihang_decision_tree
aiyuyun2015/DRL
Deep Reinforcement Learning
aiyuyun2015/java_example
aiyuyun2015/lumo-implement
Learning_to_reweight_examples_for_robust_deep_learning
aiyuyun2015/dvc_base
aiyuyun2015/EYprojectLab
aiyuyun2015/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
aiyuyun2015/BookCode
Source code for my books
aiyuyun2015/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
aiyuyun2015/code-with-paper
aiyuyun2015/python-GreyTheory
Grey theory, GM11 has convolution mode.
aiyuyun2015/mlflow
Open source platform for the machine learning lifecycle