My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
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Updated
Dec 6, 2021 - Python
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.
Discover hidden patterns and relationships in unstructured data with Python
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
NLP with NLTK for Sentiment analysis amazon Products Reviews
t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
Implementation of collaborative filtering using fastai and pytorch
ASAP : Automated Single-cell Analysis Pipeline
R package for dimensionality reduction of small datasets
A JavaScript Library for Dimensionality Reduction
Some examples of using PCA and t-SNE for dimensionality reduction in Python and R
Hacking sklearn's t-SNE implementation to animate embedding process
Explore high-dimensional datasets and how your algo handles specific regions.
🤘 Map out your musical taste on Spotify with machine learning
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