lukeers
Computer Science Ph.D. candidate at UMBC. Currently researching within the Interactive Robotics and Language Lab
Pinned Repositories
GLS
AAAI2018
activelearning
adversarial-robustness-toolbox
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
alfred
ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Auto-Encoder
Auto-encoder on torch - trying out the various AEs
babyai
BabyAI platform. A testbed for training agents to understand and execute language commands.
Denoising-Autoencoder-in-Pytorch
A Pytorch Implementation of a denoising autoencoder.
GLSv2
This will be the version of GLS that implements more modular design & framework ideas that allow for further innovations
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
lukeers's Repositories
lukeers/AAAI2018
lukeers/activelearning
lukeers/adversarial-robustness-toolbox
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
lukeers/alfred
ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
lukeers/Auto-Encoder
Auto-encoder on torch - trying out the various AEs
lukeers/babyai
BabyAI platform. A testbed for training agents to understand and execute language commands.
lukeers/Denoising-Autoencoder-in-Pytorch
A Pytorch Implementation of a denoising autoencoder.
lukeers/GLSv2
This will be the version of GLS that implements more modular design & framework ideas that allow for further innovations
lukeers/gym-minigrid
Minimalistic gridworld package for OpenAI Gym
lukeers/lukeers
lukeers/lukeers.github.io
personal website
lukeers/modulated_fusion_transformer
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
lukeers/MOTIF
lukeers/Project2
lukeers/Reservoir-Computing-in-PyTorch
PyTorch implementation of some Reservoir Computing models