frankpsch Goto Github PK
Name: Frank
Type: User
Bio: Interested in Data Science, Clean Energy, Algo Trading
Location: Berlin, Germany
Name: Frank
Type: User
Bio: Interested in Data Science, Clean Energy, Algo Trading
Location: Berlin, Germany
A TensorFlow Implementation of "Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation" by Wu et al.
Actor Critic using Kronecker-Factored Trust Region
Implementation of A2C and ACKTR in TensorFlow.
Deep reinforcement learning algorithms is applied on a pump which control temperature of water floating into the underfloor heating system and controlling open/close valves for circuits depending on the chosen environment.
AlphaHub Trader Optimus1
Performance analysis of predictive (alpha) stock factors
An experimental open-source attempt to make GPT-4 fully autonomous.
AutoGPT-easy-install is a bash/powershell script designed for non-experts to easily install and run the AutoGPT application in a Docker container. The script checks if Docker is installed and installs it if necessary. It prompts the user for API keys, workspace folder path, and whether to run AutoGPT in continuous mode
Bayesian models to compute performance and uncertainty of returns and alpha.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Creating DRL infrastructure for Dynamic Beta with Zipline and Keras
Studied the trend of overall load and divided it into three classes, low, high and average efficient labels. Then trained a deep learning model using KerasClassifier and three-layered baseline model with relu and softmax as activation functions to predict the label in Python Jupiter book Built explanatory deep learning model to predict the house heating and cooling load using tensor-flow and keras with 93% accuracy
Easylanguage-based program trading tools
Common financial risk and performance metrics. Used by zipline and pyfolio.
EnergyPlus for Raspberry Pi
Simple worker to run EnergyPlus jobs and store results
Free Python Games
Actor-Critic agent for OpenAI gym
Environment for reinforcement-learning algorithmic trading models
Reinforcement learning implementation of HVAC controller
Intelligent HVAC
Front end for the intelligent HVAC project
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.