Ivan Miao's repositories
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
awesome-deep-learning-papers
The most cited deep learning papers
awesome-spider
爬虫集合
coding-interview-university
A complete computer science study plan to become a software engineer.
crawlers
some crawlers to download data
darknet
Convolutional Neural Networks
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Deeplearning.ai-GAN-Specialization-Generative-Adversarial-Networks
This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)
Deeplearning.ai-Natural-Language-Processing-Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Python
All Algorithms implemented in Python
Python-100-Days
Python - 100天从新手到大师
pytorch_warmup
Learning Rate Warmup in PyTorch
quant-resources
resources of quantitative trading
Recommenders
Best Practices on Recommendation Systems
Reinforcement-Learning-in-Finance
Financial Reinforcement Learning Projects using Python
resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
trading
practice
trading-gym
This trading-gym is the first trading for agent to train with episode of short term trading itself.
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
xg2xg
by ex-googlers, for ex-googlers - a lookup table of similar tech & services