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ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

algorithmic-trading-using-price-action-strategies

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

alphas

alpha101, alpha191, alphalens, backtrader, 量化研究

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-mlops

A curated list of references for MLOps

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

awesome_time_series_in_python

This curated list contains python packages for time series analysis

backtrader

Python Backtesting library for trading strategies

backtrader-backtests

An implementation of trading strategies such as the Stochastic Oscillator with support and resistance using the BackTrader framework for backtesting

backtrader-momentum-strategy

Momentum Strategy implemented in Backtrader for newbies

backtrader-pyqt-ui

Easy to use backtrader UI

backtraderqiml

bearalpha

Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct with BearAlpha, factor analyze based on BearAlpha, and financial researches on paper or report with research

bmc

Notes on Scientific Computing for Biomechanics and Motor Control

chan-victor

维克多 缠论

colossalai

Making big AI models cheaper, easier, and scalable

crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

czsc

缠中说禅技术分析工具；缠论

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-time-series-prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

deeplearning-trader

backtrader with DRL ( Deep Reinforcement Learning)

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

double_bottom_trading_strategy

Implementation of a Double Bottom trading strategy using python Backtrader module

factorhub

finrl-library

A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.