awjuliani

DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

TF-Tutorials

A collection of deep learning tutorials using Tensorflow and Python

Meta-RL

Implementation of Meta-RL A3C algorithm

oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

neuro-nav

A library for neuroscience-inspired navigation and decision making research.

dfp

Reinforcement Learning with Goals

pytorch-diffusion

A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'

Pix2Pix-Film

An implementation of Pix2Pix in Tensorflow for use with frames from films

sound-cnn

A convolutional neural network that classifies sounds

3D-TSNE

A Unity project for visualizing t-SNE data in 3D.

RL-CC

Web-based Reinforcement Learning Control Center

successor_examples

Tutorials on learning and using successor representations.

DNN-Sentiment

Convolutional and recurrent deep neural networks for text sentiment analysis.

NeuralDreamVideos

A deep learning model for creating video sequences

cognition-course

Slides used in Cognitive Psychology course taught during summer 2015 at the University of Oregon

synescape

Sound visualization app for musicians and music fans.

awjuliani.github.io

interaction-grounded-learning

A simple PyTorch implementation of the ideas presented in the paper Interaction Grounded Learning (IGL) from Xie et al., 2021.

deep-rl-plasticity

serotonin-ebm

dual-receptor-site