Research Scientist at Verizon Media interested in data/text mining, computer vision, deep learning and machine learning in general.
SelfAttentive. Implementation of A Structured Self-attentive Sentence Embedding
108Adaptive. Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
108Deep-Learning-Notes. Notes for Deep Learning Papers
19Aspect-Mining-Implementation. Aspect Mining Implementation in Python
2bottom-up-attention. Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
2TensorFlowOnSpark. TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
1tensor2tensor. Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
1awesome-nlp. :book: A curated list of resources dedicated to Natural Language Processing (NLP)
1pytorch-tutorial. tutorial for researchers to learn deep learning with pytorch.
1models. Models and examples built with TensorFlow
1sonnet. TensorFlow-based neural network library
1autogluon. AutoGluon: AutoML Toolkit for Deep Learning
1Captioning. Jupyter Notebook
1neuraltalk2. Efficient Image Captioning code in Torch, runs on GPU
1MUMTFALL16InfoVis. Information Visualization Project
1TensorFlow_Examples. Collection of TensorFlow Examples
1pynetdicom3. A Python 2.7/3+ implementation of the DICOM networking protocol
1AdversarialNetsPapers. The classical papers and codes about generative adversarial nets
1cluster. Instructions for using clusters at Virginia Tech
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