GitHub repo leaderboard by stars, growth rate and activity.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
List of awesome resources for machine learning-based algorithmic trading
文件 笔和线段的一种划分.py,只需要把k线high,low数据输入,就能自动实现笔,线段,中枢,买卖点,走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难,有人说选股很容易,有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统,当你的影响可以被忽略,你才能实现,Jiang主席所谓之,闷声发大财。第一周,大盘跌了1%,挣钱了一万,挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!
AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
A Deep Reinforcement Learning Framework for Stock Market Trading
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. | Python | 32,793 | last pushed 3 years ago | |
| 2 | The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. | C# | 19,662 | last pushed 1 week ago | |
| 3 | A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. | Python | 2,874 | last pushed Yesterday | |
| 4 | List of awesome resources for machine learning-based algorithmic trading | — | 2,039 | last pushed 3 years ago | |
| 5 | 文件 笔和线段的一种划分.py,只需要把k线high,low数据输入,就能自动实现笔,线段,中枢,买卖点,走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难,有人说选股很容易,有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统,当你的影响可以被忽略,你才能实现,Jiang主席所谓之,闷声发大财。第一周,大盘跌了1%,挣钱了一万,挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view! | Python | 568 | last pushed 2 years ago | |
| 6 | AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning | Python | 448 | last pushed 5 years ago | |
| 7 | A Deep Reinforcement Learning Framework for Stock Market Trading | Python | 190 | last pushed 5 years ago |
All · 11,474