MilvusAn open-source vector database for embedding similarity search and AI applications.
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graphgroveA framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
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pynanoflannUnofficial python wrapper to the nanoflann k-d tree
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AnnoyApproximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
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annoy.rbannoy-rb provides Ruby bindings for the Annoy (Approximate Nearest Neighbors Oh Yeah).
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pgvectorOpen-source vector similarity search for Postgres
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scikit-hubnessA Python package for hubness analysis and high-dimensional data mining
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lshensembleLSH index for approximate set containment search
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Upside-Down-Reinforcement-LearningUpside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
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spark-transformersSpark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
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kdtreeA k-d tree implementation in Go.
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PyImpetusPyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
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influence boostingSupporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
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neptune-examplesExamples of using Neptune to keep track of your experiments (maintenance only).
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ML-ProjectKart🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
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zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
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Machine-LearningA repo to explain algorithm in machine learning with CHINESE
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fastknnFast k-Nearest Neighbors Classifier for Large Datasets
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Customer segmentationAnalysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
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COVID19Using Kalman Filter to Predict Corona Virus Spread
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ann-benchmarksBenchmarking approximate nearest neighbors. Note: This is an archived version from our SISAP 2017 paper, see below.
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ml-from-scratchAll content related to machine learning from my blog
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AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
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RANNR package providing fast nearest neighbour search (wraps ANN library)
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DA TutorialThis is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
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OpencvInstallationshell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.
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SWBlogmachine learning practitioner, android and python
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genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
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TIFUKNNkNN-based next-basket recommendation
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NoMLA notebook for machine learning interview
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taller SparkRTaller SparkR para las Jornadas de Usuarios de R
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dbMAPA fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
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FB-Ads-Opt-UCBThe easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻
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claireContinuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes
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NeuroEvolution-Flappy-BirdA comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python
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docarrayThe data structure for unstructured data
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darwinDarwin C++ and Python Machine Learning Framework for Cyber Security
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knn-cppA header-only C++ library for k nearest neighbor search with Eigen3.
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Anomaly Detectionanomaly detection with anomalize and Google Trends data
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genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
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artificial neural networksA collection of Methods and Models for various architectures of Artificial Neural Networks
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subsemblesubsemble R package for ensemble learning on subsets of data
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pycorelsPublic home of pycorels, the python binding to CORELS
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Spam-detectionEmail Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam
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skyline-querySimple implementation of spatial skyline query algorithms
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DolphinnHigh Dimensional Approximate Near(est) Neighbor
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normalizing-flowsImplementations of normalizing flows using python and tensorflow
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calcuMLatorAn intelligently dumb calculator that uses machine learning
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ntnu-somUsing Self-Organizing Maps for Travelling Salesman Problem
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Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
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extra-modelCode to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
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PROSACPROSAC algorithm in python
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