A practical guide to topic mining and interactive visualizations

Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]

Use your classification neural network for object detection and localization

code to help with tsne plotting

This repository contains my solution to the Stanford Course cs224u "Natural Language Understanding" Summer 2019

Exploring the discriminating power of different loss functions for classification

This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE).

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

t-SNE visualization using D3.js and D3FC's WebGL series

An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.

NLP of Ted Talk transcripts and a recommender.

I am on the Advisory Services Team of a financial consultancy. One of MY clients, a prominent investment bank, is interested in offering a new cryptocurrency investment portfolio for its customers. The company, however, is lost in the vast universe of cryptocurrencies. They’ve asked me to create a report that includes what cryptocurrencies are o…

Implementation of Variational Auto Encoder (VAE) in pytorch using MNIST data

3D T-SNE graphs with sliders and checkboxes to visualize the T-SNE cloud at every epoch for specific labels. Optionally you can also track specific datapoint by labeling it with a unique marker.

Here using various data visualisation techniques likes TSNE and PCA we will try to visualise various kinds of dataset which is one of the most important part of building a machine learning model

Github Repo for CSE 573 project : Document Clustering and 3D Visualization

Testing AutoNovel and UNO novel-class-discovery techniques to assess their prerformances under different settings. Plot of tSNE to evaluate clustering capabilities for known and new classes