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Facebook AI Research
- Menlo Park, CA
- @dubeya_
Stars
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration
This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts, and attributes prediction models, query evaluation scripts…
OpenXAI : Towards a Transparent Evaluation of Model Explanations
Training and evaluating NBM and SPAM for interpretable machine learning.
Code accompanying "Adaptive Methods for Aggregated Domain Generalization"
References at the Intersection of Causality and Reinforcement Learning
Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"
Academic Responsive (AR) Website Template
Simple and easily configurable grid world environments for reinforcement learning
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Code for reproducing the results of "Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions" (O'Brien et al., NeurIPS 2018).
Modularized Implementation of Deep RL Algorithms in PyTorch
Supporting public code for SIGBOVIK17 submission
Using the genetic algorithm and neural networks I trained up 5 snakes who will then fuse to become the ultimate snake, this is how I did it
Instructions for setting up the software on your deep learning machine