GPU Accelerated t-SNE for CUDA with Python bindings
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Updated
Apr 5, 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.
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
A research paper recommender system that recommends similar research papers based on abstract text of the papers.
An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.
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
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…
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