tr8dr

Pinned Repositories

.Net-Bridge
.NET Bridge allowing Python and R to access .NET libraries, running either locally or remotely
Language:C#27 8 1016
Adversarial-PG
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
Language:Python4 0 05
gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Language:Python1 0 00
news
Language:Jupyter Notebook1 1 01
plotly.py
The interactive graphing library for Python (includes Plotly Express) :sparkles:
Language:Python1 0 00
r-tseries-patterns
trend / momentum and other patterns in financial timeseries
Language:Jupyter Notebook10 1 15
scikit-learn
scikit-learn: machine learning in Python
Language:Python5 0 01
tr8dr.github.io
Tr8dr's Musing on Algo Trading, Machine Learning, and the Markets
Language:HTML12 5 07
trials
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
Language:Python10
tseries-patterns
trend / momentum and other patterns in financial timeseries
Language:Jupyter Notebook231 15 1170

tr8dr's Repositories

tr8dr/tseries-patterns
trend / momentum and other patterns in financial timeseries
Language:Jupyter Notebook231 15 1170
tr8dr/.Net-Bridge
.NET Bridge allowing Python and R to access .NET libraries, running either locally or remotely
Language:C#27 8 1016
tr8dr/tr8dr.github.io
Tr8dr's Musing on Algo Trading, Machine Learning, and the Markets
Language:HTML12 5 07
tr8dr/r-tseries-patterns
trend / momentum and other patterns in financial timeseries
Language:Jupyter Notebook10 1 15
tr8dr/scikit-learn
scikit-learn: machine learning in Python
Language:Python5 0 01
tr8dr/Adversarial-PG
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
Language:Python4 0 05
tr8dr/gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Language:Python1 0 00
tr8dr/news
Language:Jupyter Notebook1 1 01
tr8dr/plotly.py
The interactive graphing library for Python (includes Plotly Express) :sparkles:
Language:Python1 0 00
tr8dr/trials
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
Language:Python10
tr8dr/design
0 1 00
tr8dr/DMDpack
Dynamic Mode Decomposition
Language:Python0 0
tr8dr/dygraphs
R interface to dygraphs
Language:JavaScript1 0
tr8dr/Exposed
Kotlin SQL Framework
Language:Kotlin1 0
tr8dr/groovy-shell-server
Remoting enabled groovysh server
Language:Java1 0
tr8dr/libming
SWF output library
Language:C1 0
tr8dr/mathnet-numerics
Math.NET Numerics
Language:C#1 0
tr8dr/npc_gzip
Language:Python0 0
tr8dr/okhttp
Square’s meticulous HTTP client for the JVM, Android, and GraalVM.
Language:Kotlin0 0
tr8dr/oxyplot
source code and examples
Language:C#1 0
tr8dr/plotnine
A grammar of graphics for Python
Language:Python0 01
tr8dr/rbokeh
R interface to Bokeh http://hafen.github.io/rbokeh/
Language:R1 0
tr8dr/reflect
Simple Rust reflection library
Language:Rust
tr8dr/wren
The Wren Programming Language. Wren is a small, fast, class-based concurrent scripting language.
Language:Wren0 0