- nokia 1
- social good 3
- apps 2
- iet 1
- ssh 1
- security 2
- big data 5
- data science 5
- ml 46
- hadoop 1
- installation 2
- terminal 2
- ghc 2
- docker 1
- nlp 15
- nltk 1
- machine learning 1
- ir 1
- robotics 3
- ai 43
- shanghai 3
- naive bayes 1
- classification 1
- gpg 2
- crypto 2
- deep learning 16
- data visualization 2
- raphael 2
- graphics 1
- nodejs 1
- 4js 1
- tabelu 1
- google charts 2
- mozilla 1
- mdn 1
- github 2
- domain 1
- CERN 6
- open cosmics 1
- crowd crafting 1
- citizen science 1
- cosmic pi 1
- cloud chamber 1
- webfest 1
- neural nets 2
- ghc scholar 1
- tableu 1
- cloudera 1
- hackathon 1
- qa 6
- paper review 17
- image captions 9
- word2vec 4
- frameworks 1
- datasets 3
- ai-hard 3
- rnn 2
- dnn 1
- image captioning 5
- conference 1
- memnets 1
- brain 4
- vqa 2
- summer2016 2
- ibm 1
- spark 1
- tensorflow 1
- cmp 1
- aisc 1
- cv 1
- clarifai 1
nokia
social good
apps
iet
ssh
security
big data
- Deep Learning Summer School
- Amazing AI
- Strata+Hadoop Conference, San Jose
- Hadoop Installation
- Data Scientists: Who, What, How?
data science
- Grace Hopper Conference
- CERN Openlab Summer Internship III
- CERN Openlab Summer Internship II
- CERN Openlab Summer Internship I
- Data Scientists: Who, What, How?
ml
- Visual Search Engines
- TensorFlow Playground
- Adversarial Autoencoders
- DenseCap: Fully Convolutional Localization Networks for Dense Captioning
- Generation and Comprehension of unambiguous object descriptions
- Dynamic Memory Networks for Visual and Textual Question Answering
- Learning to Execute
- Curriculum learning
- Order Embeddings of images and language
- Apache Spark Maker
- Visual Question Answering Experiments
- Distributed Representations of Words and Phrases and their Compositionality
- Sequence to Sequence Learning with Neural Networks
- The Neural Conversation Model
- Visual Question Answering
- Experimenting with the Neural Conversation Model
- Deep Learning Summer School
- Amazing AI
- Strata+Hadoop Conference, San Jose
- Translating Videos to Natural Language Using Deep RNNs
- Show and Tell - Neural Image Caption Generator
- Deep Visual Semantic Alignments for Generating Image Descriptions
- Learning Knowledge Graphs for Question Answering through Conversational Dialog
- Shallow and Deep Neural Networks
- Memory Neural Networks
- Image Captioning - Baby steps - Types of images
- AI Complete Question Answering
- From Visual Concepts and Back
- Question Answering Datasets
- Learning a Recurrent Visual Representation for Image Caption Generation
- Towards a Visual Turing Challenge
- AI Hard and AI Complete Tasks
- Exploring Image Captioning Datasets
- Deep Learning Frameworks
- FMRI Brain Data
- Qualitative Evalvations of Word2Vec for Recommendations
- Word2Vec
- Learning from Image Captioning
- Paper Reviews
- Long Term Memory
- CERN Openlab Summer Internship III
- CERN Openlab Summer Internship II
- CERN Openlab Summer Internship I
- Spider
- Gender Identifier
- Data Scientists: Who, What, How?
hadoop
installation
terminal
ghc
docker
nlp
- Adversarial Autoencoders
- DenseCap: Fully Convolutional Localization Networks for Dense Captioning
- Generation and Comprehension of unambiguous object descriptions
- Dynamic Memory Networks for Visual and Textual Question Answering
- Learning to Execute
- Curriculum learning
- Order Embeddings of images and language
- Apache Spark Maker
- Visual Question Answering Experiments
- Distributed Representations of Words and Phrases and their Compositionality
- Sequence to Sequence Learning with Neural Networks
- The Neural Conversation Model
- Visual Question Answering
- Experimenting with the Neural Conversation Model
- Gender Identifier
nltk
machine learning
ir
robotics
ai
- Visual Search Engines
- TensorFlow Playground
- Adversarial Autoencoders
- DenseCap: Fully Convolutional Localization Networks for Dense Captioning
- Generation and Comprehension of unambiguous object descriptions
- Dynamic Memory Networks for Visual and Textual Question Answering
- Learning to Execute
- Curriculum learning
- Order Embeddings of images and language
- Apache Spark Maker
- Visual Question Answering Experiments
- Distributed Representations of Words and Phrases and their Compositionality
- Sequence to Sequence Learning with Neural Networks
- The Neural Conversation Model
- Visual Question Answering
- Experimenting with the Neural Conversation Model
- Deep Learning Summer School
- Amazing AI
- Strata+Hadoop Conference, San Jose
- Translating Videos to Natural Language Using Deep RNNs
- Show and Tell - Neural Image Caption Generator
- Deep Visual Semantic Alignments for Generating Image Descriptions
- Learning Knowledge Graphs for Question Answering through Conversational Dialog
- Shallow and Deep Neural Networks
- Memory Neural Networks
- Image Captioning - Baby steps - Types of images
- AI Complete Question Answering
- From Visual Concepts and Back
- Question Answering Datasets
- Learning a Recurrent Visual Representation for Image Caption Generation
- Towards a Visual Turing Challenge
- AI Hard and AI Complete Tasks
- Exploring Image Captioning Datasets
- Deep Learning Frameworks
- FMRI Brain Data
- Qualitative Evalvations of Word2Vec for Recommendations
- Word2Vec
- Learning from Image Captioning
- Paper Reviews
- Long Term Memory
- ShanghAI III
- ShanghAI II
- I'm at ShanghAI!!
shanghai
naive bayes
classification
gpg
crypto
deep learning
- Adversarial Autoencoders
- DenseCap: Fully Convolutional Localization Networks for Dense Captioning
- Generation and Comprehension of unambiguous object descriptions
- Dynamic Memory Networks for Visual and Textual Question Answering
- Learning to Execute
- Curriculum learning
- Order Embeddings of images and language
- Apache Spark Maker
- Visual Question Answering Experiments
- Distributed Representations of Words and Phrases and their Compositionality
- Sequence to Sequence Learning with Neural Networks
- The Neural Conversation Model
- Visual Question Answering
- Experimenting with the Neural Conversation Model
- Deep Learning Frameworks
- Deep Learning for Audio Recognition
data visualization
raphael
graphics
nodejs
4js
tabelu
google charts
mozilla
mdn
github
domain
CERN
- Apache Spark Maker
- Strata+Hadoop Conference, San Jose
- CERN Webfest: Open Cosmics
- CERN Openlab Summer Internship III
- CERN Openlab Summer Internship II
- CERN Openlab Summer Internship I
open cosmics
crowd crafting
citizen science
cosmic pi
cloud chamber
webfest
neural nets
ghc scholar
tableu
cloudera
hackathon
qa
- Visual Question Answering Experiments
- Visual Question Answering
- AI Complete Question Answering
- Question Answering Datasets
- Learning from Image Captioning
- Paper Reviews
paper review
- Adversarial Autoencoders
- DenseCap: Fully Convolutional Localization Networks for Dense Captioning
- Generation and Comprehension of unambiguous object descriptions
- Dynamic Memory Networks for Visual and Textual Question Answering
- Learning to Execute
- Curriculum learning
- Order Embeddings of images and language
- Translating Videos to Natural Language Using Deep RNNs
- Show and Tell - Neural Image Caption Generator
- Deep Visual Semantic Alignments for Generating Image Descriptions
- Learning Knowledge Graphs for Question Answering through Conversational Dialog
- AI Complete Question Answering
- From Visual Concepts and Back
- Learning a Recurrent Visual Representation for Image Caption Generation
- Towards a Visual Turing Challenge
- Learning from Image Captioning
- Paper Reviews
image captions
- Memory Neural Networks
- Image Captioning - Baby steps - Types of images
- From Visual Concepts and Back
- Learning a Recurrent Visual Representation for Image Caption Generation
- Towards a Visual Turing Challenge
- AI Hard and AI Complete Tasks
- Exploring Image Captioning Datasets
- Learning from Image Captioning
- Paper Reviews
word2vec
- Visual Question Answering Experiments
- Visual Question Answering
- Qualitative Evalvations of Word2Vec for Recommendations
- Word2Vec
frameworks
datasets
ai-hard
rnn
- From Visual Concepts and Back
- Learning a Recurrent Visual Representation for Image Caption Generation
dnn
image captioning
- Order Embeddings of images and language
- Translating Videos to Natural Language Using Deep RNNs
- Show and Tell - Neural Image Caption Generator
- Deep Visual Semantic Alignments for Generating Image Descriptions
- Learning Knowledge Graphs for Question Answering through Conversational Dialog
conference
memnets
brain
- Distributed Representations of Words and Phrases and their Compositionality
- Sequence to Sequence Learning with Neural Networks
- The Neural Conversation Model
- Experimenting with the Neural Conversation Model