Clustering of famous Amul cartoons. Applying CNN's for feature extraction and clustering based on 2048 features output from the model.
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Updated
Jan 15, 2017
Clustering of famous Amul cartoons. Applying CNN's for feature extraction and clustering based on 2048 features output from the model.
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
Unsupervised Deep Learning Models Implementation.
A Hearthstone Card visualizer in 3D with the help of Tensorboard using PCA or t-SNE
The project visualizes the high dimensional bioacoustic data in 2D scatter plot using the tSNE technique.
Large Scale Graph Processing - Detect communities in large graphs
Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.
MATLAB scripts for the paper "Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer"
Code and Slides for PyData Conference (India 2017)
Semantic similarity extraction using word vectors in Mahabharata dataset
Online curatorial project, made of 125k images of empty apartments
Single Cell Analysis course at Cold Spring Harbor Laboratory 2017
2017 repository
R wrapper for a Cuda implementation of t-SNE
Python Wrapper for t-SNE Visualization
Detection of Fake News Posts on Facebook
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