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Machine Learning | Statistics | Bayesian | D3js | Visualizations
bnlearn. Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
633distfit. distfit is a python library for probability density fitting.
418pca. pca: A Python Package for Principal Component Analysis.
351findpeaks. The detection of peaks and valleys in a 1d-vector or 2d-array (image)
291d3graph. Creation of interactive networks using d3 Javascript
204clustimage. clustimage is a python package for unsupervised clustering of images.
112clusteval. Clusteval provides methods for unsupervised cluster validation
70hgboost. hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
70undouble. Python package undouble is to detect (near-)identical images.
57benfordslaw. benfordslaw is about the frequency distribution of leading digits.
49googletrends. Google trends is to examine trending google searches on geographical location and across time for input keywords.
47kaplanmeier. kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.
37hnet. Association ruled based networks using graphical Hypergeometric Networks.
36caerus. Detection of favorable moments in time series data
35worldmap. This python package enables to color different countries in the world or the regions per country.
17scatterd. Scatterd is a Python package for easy and fast creation of beautiful scatter plots.
13treeplot. Plot tree based machine learning models
11d3heatmap. d3heatmap is a Python package to create interactive heatmaps based on d3js.
11KNRscore. KNRScore is a Python package for computing K-Nearest-Rank Similarity, a metric that quantifies local structural similarity between two maps or embeddings.
10ismember. ismember
8classeval. Evaluation of supervised predictions for two-class and multi-class classifiers
8LLMlight. LLMlight is a lightweight Python library for running local language models with built-in memory, retrieval, and prompt optimization, requiring minimal dependencies.
7dicter. Python package with advanced dictionary functions. Traverse through nested dicts. Set and get multiple keys. Flattens dicts. Store and load in json and more!
5imagesc. Make quick and beautiful heatmaps
5colourmap. Colourmap is for wrangling RGB and HEX colors.
5pypickle. pypickle is for saving and loading files in pickle format.
4df2onehot. Convert a unstructured array into a stuctured dataframe.
3datazets. Datazets is a python package to retrieve example data sets.
3LLMs-from-scratch. Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
2ffmpeg_setpath. Automatically download and set the ffmpeg in system path
2irelease. Library that automates releasing your Github python package at Pypi.
2thompson. Thompson is Python package to evaluate the multi-armed bandit problem. In addition to thompson, Upper Confidence Bound (UCB) algorithm, and randomized results are also implemented.
2erdogant.
2PhotoSenseAI. PhotoSense AI is a photo organizer that can completely run in your Local device (Windows support. Will add Mac OS and linux support soon)
2bnclassify. bnlearn
1d3plus. d3plus
1chat2pdf. Run a local LLM and chat with your PDF
1ai-knowledge-graph. AI Powered Knowledge Graph Generator
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