leesharkey

models--interpreting-rl-behavior

Models and experiments used in https://interpreting-rl-behavior.github.io/

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

deep_attractor_network

Finding-exoplanets-with-a-CNN

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

glasgow_msc_project

gym

A toolkit for developing and comparing reinforcement learning algorithms.

layerwise_jacobian_analysis

leesharkey.github.io

Build a Jekyll blog in minutes, without touching the command line.

leesharkey/layerwise_jacobian_analysis

leesharkey/deep_attractor_network

leesharkey/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

leesharkey/Finding-exoplanets-with-a-CNN

leesharkey/five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

leesharkey/glasgow_msc_project

leesharkey/gym

A toolkit for developing and comparing reinforcement learning algorithms.

leesharkey/leesharkey.github.io

Build a Jekyll blog in minutes, without touching the command line.

leesharkey/MNIST-repo

Building a neural net from scratch to train using the MNIST data set.

leesharkey/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

leesharkey/PredNet_pytorch

A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.

leesharkey/pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

leesharkey/train-procgen-pfrl

PyTorch code to train and evaluate Procgen tasks