Oswaldo Ludwig's repositories
Seq2seq-Chatbot-for-Keras
This repository contains a new generative model of chatbot based on seq2seq modeling.
Human-Action-Recognition-with-Keras
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
Adversarial-Learning-for-Generative-Conversational-Agents
This repository contains a new adversarial training method for Generative Conversational Agents
visually-informed-embedding-of-word-VIEW-
Visually informed embedding of word (VIEW) is a tool for transferring multimodal background knowledge to NLP algorithms.
Sensitivity-to-occlusion-Keras-
This script evaluates the sensitivity of VGG-16 to occlusion using Keras
Eigenvalue-Decay-Regularizer-for-Keras
Eigenvalue Decay is a new option of weight regularizer to the deep learning practitioner that aims at maximum-margin learning.
Parallel-Seq2Seq
A new seq2seq model for fast training.
Pruning-pre-trained-models-using-evolutionary-computation
This repository contains scripts to prune Wav2vec2 using a neuroevolution-based method. More details about this method can be found in the paper Compressing Wav2vec2 for Embedded Applications.
CNN-for-Sentence-Classification-in-Keras
Convolutional Neural Networks for Sentence Classification in Keras
seq2seq_chatbot_links
[unmaintained] Links to the implementations of neural conversational models for different frameworks
ctc_tensorflow_example
CTC + Tensorflow Example for ASR
distracted-drivers-keras
Starter project for the Kaggle State Farm Distracted Driver Detection Competition
F1-maximization
A software package that trains an MLP by maximizing a soft approximation of the F1 squared.
fashion-tsne-map
t-SNE Maps of Fashion Items, Based on Fashion DNA
fastText
Library for fast text representation and classification.
fully-justified-text
Automatically exported from code.google.com/p/fully-justified-text
ludwig
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Speech_Recognition_with_Tensorflow
Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.