Pinned Repositories
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Deep_reinforcement_learning_Course
Notebooks from the free course Deep Reinforcement Learning with Tensorflow
DuelDQN
DuelDQN with Pytorch
Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
MultiAgent-PPO
Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
Pokedex
Repo intended for educational purposes
PPO-demo
Repository uses Unity-ML Reacher as environment for Proximal Policy Optimization agent
RetrievalAugmentedGeneration
The purpose of this repo is to learn and apply offline techniques for Retrieval Augmented Generation (RAG)
RLTrader
A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Unified_Data_API_Client_DotNet
Unified Data API Client .Net
jsztompka's Repositories
jsztompka/MultiAgent-PPO
Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
jsztompka/PPO-demo
Repository uses Unity-ML Reacher as environment for Proximal Policy Optimization agent
jsztompka/Pokedex
Repo intended for educational purposes
jsztompka/RLTrader
A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
jsztompka/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
jsztompka/Deep_reinforcement_learning_Course
Notebooks from the free course Deep Reinforcement Learning with Tensorflow
jsztompka/DuelDQN
DuelDQN with Pytorch
jsztompka/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
jsztompka/RetrievalAugmentedGeneration
The purpose of this repo is to learn and apply offline techniques for Retrieval Augmented Generation (RAG)
jsztompka/Unified_Data_API_Client_DotNet
Unified Data API Client .Net