Julius Kittler's repositories
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.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
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
textmining-report
This repo contains my project report for the course 732A92 Text Mining.
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
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-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
foundry-dev-tools
Foundry DevTools
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:
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
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.