juliuskittler Goto Github PK

aoc2022

These are my solutions for the coding challenge "Advent of Code 2022". Any feedback is welcome!

bert-stock-prediction-using-nlp

In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings

blog

cbe30338

Chemical Process Control

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-in-stock-trading

Using deep actor-critic model to learn best strategies in pair trading

deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

foundry-dev-tools

Foundry DevTools

gists

gym

A toolkit for developing and comparing reinforcement learning algorithms.

iex_historical-prices

This repo contains a script for regularly downloading all historic intraday OHCL data from IEX with Python, asynchronously, via API and for free.

langchain

⚡ Building applications with LLMs through composability ⚡

langchain-chatbot

Examples of chatbot implementations with Langchain and Streamlit

leetcode-downloader-for-submissions

Javascript that can be pasted in the console to quickly download all of your LeetCode submissions and source code without having to install any additional software or set cookies.

machine_learning_examples

A collection of machine learning examples and tutorials.

metaflow

:rocket: Build and manage real-life data science projects with ease!

ml4industry

Machine Learning course at Linköping University for Industry

mljar-supervised

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

nlp-stock-prediction

prompt-engineering-by-openai

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

pytrendfollow

PyTrendFollow - systematic futures trading using trend following

q-trader

Deep Q-learning driven stock trader bot

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-bakery

RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

shiny-apps

This repo contains 5 shiny apps that I created for data exploration purposes.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms