Matthew Almeida's Projects
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Caffe: a fast open framework for deep learning.
Practical assignments of the Deep|Bayes summer school 2019
A TensorFlow implementation of Baidu's DeepSpeech architecture
DenseNet implementation in Keras
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Repo for exploratory data analysis of eye tracking data
Embed strange attractors using a regularizer for autoencoders
Test performance of various classifiers in recognizing walks under certain conditions
A beautiful, simple, clean, and responsive Jekyll theme for academics
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Implementation of Minimax Pareto Fairness framework
Models built with TensorFlow
Repository for the code of TKDD paper "Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance"
Repository for running sampling experiments on PACS.
Repository for the development of personal website code pre-github pages deployment
Dockerfiles for pytorch container development on KDLab GPU server