Pinned Repositories
code_examples
Examples of code implemented for courses
cs285_hw2
deeprl_finalproj
my final course project for CS285
DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
deepul_proj_2
deepul_project
fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
learning_biases
Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
sean-metzger's Repositories
sean-metzger/code_examples
Examples of code implemented for courses
sean-metzger/cs285_hw2
sean-metzger/deeprl_finalproj
my final course project for CS285
sean-metzger/DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
sean-metzger/deepul_proj_2
sean-metzger/deepul_project
sean-metzger/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
sean-metzger/homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
sean-metzger/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
sean-metzger/learning_biases
Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
sean-metzger/nlp_course
My homeworks from cs288 spring 2021
sean-metzger/pytorch-made
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
sean-metzger/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
sean-metzger/ResGAN
Core code for my ICASSP 2018 paper
sean-metzger/sean-metzger.github.io
sean-metzger/smetzger.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
sean-metzger/timeseries
sean-metzger/UCSF-thesis-template