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/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
aiyuyun2015/aws_ec2_git
aiyuyun2015/Auto-SEO-by-LLM
use LLM to automate SEO
aiyuyun2015/binance-futures-connector-python
aiyuyun2015/Book2_Beauty-of-Data-Visualization
Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正
aiyuyun2015/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
aiyuyun2015/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
aiyuyun2015/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
aiyuyun2015/Book7_Visualizations-for-Machine-Learning
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；正在修改
aiyuyun2015/clean-code-python
:bathtub: Clean Code concepts adapted for Python
aiyuyun2015/cython
The most widely used Python to C compiler
aiyuyun2015/Deep-Learning-Tutorials
ML_tutorials
aiyuyun2015/deep-symbolic-optimization
A deep learning framework for symbolic optimization.
aiyuyun2015/funding-rate-arbitrage
Funding rate arbitrage on cryptocurrency.
aiyuyun2015/gplearn
Genetic Programming in Python, with a scikit-learn inspired API
aiyuyun2015/gpquant
Mining technical factors based on symbolic regression via genetic algorithm
aiyuyun2015/Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
aiyuyun2015/Linear-Algebra-and-Learning-from-Data
Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
aiyuyun2015/linux-insides
A little bit about a linux kernel
aiyuyun2015/lob-deep-learning
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
aiyuyun2015/matplotlib_tutorial
aiyuyun2015/NR_Projcet
aiyuyun2015/numpy-100
100 numpy exercises (with solutions)
aiyuyun2015/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
aiyuyun2015/srsd-benchmark
[DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
aiyuyun2015/TABL-Temporal-Attention-Augmented-Bilinear-Network-for-Financial-Time-Series-Data-Analysis
Pytorch implementation of TABL from Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis
aiyuyun2015/the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
aiyuyun2015/trader
交易模块
aiyuyun2015/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
aiyuyun2015/vnpy
基于Python的开源量化交易平台开发框架