Pinned Repositories
advent_of_code_2023
Advent of Code 2023 - Python solutions
ameroyer.github.io
Personal websites (CV, publications and blog posts)
codenames_solo
A solo mode for Codenames (the boardgame) using streamlit and the OpenAI API
glow_jax
An implementation of the Glow generative model in jax and flax
ODGI
Object Detection with Grouped Instances, WACV 2020
PIC
Probabilistic Image Colorization, BMVC 2017
ReCA
(ReCA) Recommendation with Context Awareness using Multi-Environment Markov Decision Processes
SIC
(SIC) Similarity by Iterative Classifications, ICASSP 2016
tf_deep_decoder
Reimplementation of the Deep Decoder architecture in Tensorflow
TFDatasets
Preprocessing utils for various Computer Vision datasets in the Tensorflow API (TFrecords)
ameroyer's Repositories
ameroyer/PIC
Probabilistic Image Colorization, BMVC 2017
ameroyer/glow_jax
An implementation of the Glow generative model in jax and flax
ameroyer/TFDatasets
Preprocessing utils for various Computer Vision datasets in the Tensorflow API (TFrecords)
ameroyer/ODGI
Object Detection with Grouped Instances, WACV 2020
ameroyer/ReCA
(ReCA) Recommendation with Context Awareness using Multi-Environment Markov Decision Processes
ameroyer/ameroyer.github.io
Personal websites (CV, publications and blog posts)
ameroyer/SIC
(SIC) Similarity by Iterative Classifications, ICASSP 2016
ameroyer/tf_deep_decoder
Reimplementation of the Deep Decoder architecture in Tensorflow
ameroyer/advent_of_code_2017
An OCaml solution to Advent of Code 2017
ameroyer/advent_of_code_2020
A Python solution to Advent of Code 2020
ameroyer/advent_of_code_2023
Advent of Code 2023 - Python solutions
ameroyer/codenames_solo
A solo mode for Codenames (the boardgame) using streamlit and the OpenAI API
ameroyer/advent_of_code_2018
A Python solution to Advent of Code 2018
ameroyer/advent_of_code_2019
A Python solution to Advent of Code 2019
ameroyer/advent_of_code_2021
A Python solution to Advent of Code 2021
ameroyer/drive-sdk
Red&Clean[cvml1]@Anki Project
ameroyer/Flextuning
Flextuning, WACV 2020
ameroyer/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ameroyer/reading-notes
Reading Notes