J's repositories
aat
Asynchronous, event-driven algorithmic trading in Python and C++
Applied-Deep-Learning
Applied Deep Learning
Awesome-Efficient-PLM
Must-read papers on improving efficiency for pre-trained language models.
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
computer_book_list
一个综合了豆瓣，goodreads综合评分的计算机书籍书单
COVID19_mobility
COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉
Dash_eth
This project is trying to fetch real time balance & orderbook of ETH and visualise using dash
data-science-best-practices
The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.
data-structures-algorithms-level-up-bootcamp
C++ Code Repository.
finBERT
Financial Sentiment Analysis with BERT
gs-quant
Python toolkit for quantitative finance
interviews.ai
This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, the interview process is the most significant hurdle between you and a dream job.
keras-io
Keras documentation, hosted live at keras.io
LeetCode-Book
《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓
leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
MarketGAN
Implementing a Generative Adversarial Network on the Stock Market
notebooker
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
pandas-ml-quant
Master repository for the pandas-ml modules
probai-2021
Materials of the Nordic Probabilistic AI School 2021.
probml-notebooks
Notebooks for "Probabilistic Machine Learning" book
qf-lib
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance.
sentivent-implicit-economic-sentiment
Implicit economic sentiment classification experiments
slow-momentum-fast-reversion
This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"