Pinned Repositories
caffe
Caffe
caption-eval
Sentence/Caption evaluation using automated metrics
coco
MS COCO API - http://mscoco.org/
ica
Independent Component Analysis (for blind source separation)
noc
Novel Object Captioner - Captioning Images with diverse objects
queue-ns2
Queue Scheduling Algorithms. NS2 simulation. Computer Networks 2010
RL-bot
A modular reinforcement learning agent/bot that navigates an obstacle ridden dynamic gridworld.
vsubhashini.github.io
vsubhashini's Repositories
vsubhashini/caffe
Caffe
vsubhashini/ica
Independent Component Analysis (for blind source separation)
vsubhashini/caption-eval
Sentence/Caption evaluation using automated metrics
vsubhashini/noc
Novel Object Captioner - Captioning Images with diverse objects
vsubhashini/queue-ns2
Queue Scheduling Algorithms. NS2 simulation. Computer Networks 2010
vsubhashini/RL-bot
A modular reinforcement learning agent/bot that navigates an obstacle ridden dynamic gridworld.
vsubhashini/vsubhashini.github.io
vsubhashini/coco
MS COCO API - http://mscoco.org/
vsubhashini/Eigendigits
Eigenvector decomposition to classify handwritten digits
vsubhashini/gephi
trunk
vsubhashini/hacku
yahoo stuff
vsubhashini/IP-algos
IP address matching algorithm implementation - computer networks - 2010.
vsubhashini/long-live-the-battery
Predicting total battery cycle life time with machine learning
vsubhashini/nlp-dcs
vsubhashini/python-scraping-code-samples
vsubhashini/twitminer
Implementation of NaiveBayes classifier to predict tweets as "Politics" and "Sports". Includes 10-fold cross validation. Considers stopwords.
vsubhashini/v2t-torch
video2text models
vsubhashini/coco-caption
vsubhashini/comment2votes
seq2seq architecture for predicting upvotes for a reddit comment
vsubhashini/ee380l-ghosh-project
Knowledge Spillover Formulation on Solar Innovation Patents
vsubhashini/jax-foo
vsubhashini/ml-project
Data mining project based off neurosynth
vsubhashini/saliency
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques