GPU Accelerated t-SNE for CUDA with Python bindings
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Updated
Oct 2, 2024 - Cuda
GPU Accelerated t-SNE for CUDA with Python bindings
Pytorch implementation for t-SNE with cuda to accelerate
Object classification with CIFAR-10 using transfer learning
A practical guide to topic mining and interactive visualizations
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
CUDA-accelerated PyTorch implementation of t-SNE
Interactive tool for building correlation maps between governments worldwide.
A research paper recommender system that recommends similar research papers based on abstract text of the papers.
This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift
Interactive Machine Learning Examples
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
Breast region segmentation with multiatlas deformable registration
Fast Barnes-Hut t-SNE with Tensorflow integration
An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.
Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithm
Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models
MODE-TASK plugin for PyMOL
Training Word Embeddings and using them to perform Sentiment Analysis with attention based LSTMs
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