Pinned Repositories
Adversarial-Learning-for-Generative-Conversational-Agents
This repository contains a new adversarial training method for Generative Conversational Agents
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.
Human-Action-Recognition-with-Keras
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Sensitivity-to-occlusion-Keras-
This script evaluates the sensitivity of VGG-16 to occlusion using Keras
Seq2seq-Chatbot-for-Keras
This repository contains a new generative model of chatbot based on seq2seq modeling.
tensorflow
Computation using data flow graphs for scalable machine learning
visually-informed-embedding-of-word-VIEW-
Visually informed embedding of word (VIEW) is a tool for transferring multimodal background knowledge to NLP algorithms.
Galameida's Repositories
Galameida/Adversarial-Learning-for-Generative-Conversational-Agents
This repository contains a new adversarial training method for Generative Conversational Agents
Galameida/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.
Galameida/Human-Action-Recognition-with-Keras
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
Galameida/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Galameida/Sensitivity-to-occlusion-Keras-
This script evaluates the sensitivity of VGG-16 to occlusion using Keras
Galameida/Seq2seq-Chatbot-for-Keras
This repository contains a new generative model of chatbot based on seq2seq modeling.
Galameida/tensorflow
Computation using data flow graphs for scalable machine learning
Galameida/visually-informed-embedding-of-word-VIEW-
Visually informed embedding of word (VIEW) is a tool for transferring multimodal background knowledge to NLP algorithms.