Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
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Updated
Aug 2, 2024 - Python
Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
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
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…
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.
Image Visualization using PCA and t-SNE. K-means clustering, GMM, Hierarchical clustering used for image visualizing.
t-SNE visualization using D3.js and D3FC's WebGL series
Code to detect credit card fraud detecton
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.
MNIST Digit recognition using machine learning techniques
Working on Cifar-10 Dataset and Finding out its best SVM Model.
t-SNE plot view tab for Single Cell Expression Atlas experiment page
An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.
Implementation of Variational Auto Encoder (VAE) in pytorch using MNIST data
code to help with tsne plotting
Recommending similar fashion product images
This repository contains notebooks which explores the tsne algorithm by applying it on various datasets
Use your classification neural network for object detection and localization
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