Official implementation of Highly Scalable and Provably Accurate Classification in Poincaré Balls (ICDM regular paper 2021)
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Updated
Jun 4, 2023 - Python
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linear-classification
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PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k
multi-modal
clip
linear-classification
flickr8k
zero-shot-classification
flickr30k
text-image-retrieval
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Updated
Mar 14, 2024 - Python
Text classification with Machine Learning and Mealpy
machine-learning
deep-learning
neural-network
random-forest
genetic-algorithm
cnn
lstm
gru
naive-bayes-classifier
convolutional-neural-networks
bagging
text-classifier
hyper-parameter-tuning
meta-heuristic-algorithm
linear-classification
svc-svm
mealpy
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Updated
Oct 4, 2022 - Python
Scalable sparse linear models in Python
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Updated
Jun 19, 2024 - Python
Bengaluru House Price Prediction using Python (Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn). Machine learning predicts prices based on features like location, size, and bathrooms. Data preprocessing, Ridge Regression model, and evaluation metrics ensure accurate predictions. Clone, install, and run the script for precise Bengaluru house prices
machine-learning
linear-regression
jupyter-notebook
python3
artificial-intelligence
linear-classification
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Updated
Sep 30, 2023 - Python
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