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A practical guide to topic mining and interactive visualizations
Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
code to help with tsne plotting
Use your classification neural network for object detection and localization
This repository contains my solution to the Stanford Course cs224u "Natural Language Understanding" Summer 2019
t-SNE visualization using D3.js and D3FC's WebGL series
This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE).
An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
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 on the trading market and determine whether they can be grouped to create a classification system for this new investment.
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.
Implementation of Variational Auto Encoder (VAE) in pytorch using MNIST data
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
MNIST Digit recognition using machine learning techniques
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
HDP + T-SNE + k-NN applied to topic modeling
Code to detect credit card fraud detecton
This repository contains notebooks which explores the tsne algorithm by applying it on various datasets
Welcome to the CIFAR-10 SVM Classifier repository. This project demonstrates the implementation of a Support Vector Machine (SVM) model to classify images from the CIFAR-10 dataset. The repository is designed to provide insights into machine learning workflows and best practices, catering to both research and production-ready implementations.
First group project and first client project, where I focused on putting together the model and presentation.
DRAW aims to extract effective inferences from online drug reviews that would benefit drug users, pharma companies, and clinicians by receiving feedback on the drug based on opinion mining.
t-SNE plot view tab for Single Cell Expression Atlas experiment page
Successfully performed unsupervised clustering on student social network profiles to identify behavior patterns and group similarities, aiding in personalized engagement and targeted academic interventions.
Image Visualization using PCA and t-SNE. K-means clustering, GMM, Hierarchical clustering used for image visualizing.
Recommending similar fashion product images