python-for-gis-progression-pathProgression path for a GIS analyst who wants to become proficient in using Python for GIS: from apprentice to guru
Stars: ✭ 98 (+180%)
florFLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.
Stars: ✭ 123 (+251.43%)
NimbusML-SamplesSamples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Stars: ✭ 31 (-11.43%)
kglibTypeDB-ML is the Machine Learning integrations library for TypeDB
Stars: ✭ 523 (+1394.29%)
aws-ai-ml-workshop-krA collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Stars: ✭ 65 (+85.71%)
handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (+714.29%)
vs-mlrtEfficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)
Stars: ✭ 34 (-2.86%)
colabsThis repository holds the Google Colabs for the EdX TinyML Specialization
Stars: ✭ 73 (+108.57%)
erkirԵրկիր (Erkir) - a C++ library for geodesic and trigonometric calculations
Stars: ✭ 26 (-25.71%)
zpySynthetic data for computer vision. An open source toolkit using Blender and Python.
Stars: ✭ 251 (+617.14%)
vertex-ai-samplesSample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Stars: ✭ 270 (+671.43%)
deep-explanation-penalizationCode for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Stars: ✭ 110 (+214.29%)
S2ML-GeneratorsMultiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
Stars: ✭ 172 (+391.43%)
deepchecksTest Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
Stars: ✭ 1,595 (+4457.14%)
plinycomputeA system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.
Stars: ✭ 27 (-22.86%)
ai-background-removeCut out objects and remove backgrounds from pictures with artificial intelligence
Stars: ✭ 70 (+100%)
nalafNLP framework in python for entity recognition and relationship extraction
Stars: ✭ 104 (+197.14%)
Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
Stars: ✭ 28 (-20%)
rfvisA tool for visualizing the structure and performance of Random Forests 🌳
Stars: ✭ 20 (-42.86%)
thesaurusTT Hackathon 2018 - Autocomplete for Visual Programming Nodes
Stars: ✭ 23 (-34.29%)
lukaiLuk.ai Clients - Federated Machine Learning for Everyone!
Stars: ✭ 20 (-42.86%)
geonames-uaUnofficial repository of State Register of Geographical Names of Ukraine https://land.gov.ua/derzhavnyi-reiestr-heohrafichnykh-nazv/
Stars: ✭ 33 (-5.71%)
GaussianNBGaussian Naive Bayes (GaussianNB) classifier
Stars: ✭ 17 (-51.43%)
YOLOv4MLNetUse the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
Stars: ✭ 61 (+74.29%)
mlflow-dockerReady to run docker-compose configuration for ML Flow with Mysql and Minio S3
Stars: ✭ 146 (+317.14%)
missRangerR package "missRanger" for fast imputation of missing values by random forests.
Stars: ✭ 42 (+20%)
Machine learning trading algorithmMaster's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals
Stars: ✭ 20 (-42.86%)
rs datasetsTool for autodownloading recommendation systems datasets
Stars: ✭ 22 (-37.14%)
goscoreGo Scoring API for PMML
Stars: ✭ 85 (+142.86%)
pico-mlA toy programming language which is a subset of OCaml.
Stars: ✭ 36 (+2.86%)
responsible-ai-toolboxThis project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Stars: ✭ 615 (+1657.14%)
zinggScalable identity resolution, entity resolution, data mastering and deduplication using ML
Stars: ✭ 655 (+1771.43%)
mlappMLApp is a Python library for building scalable data science solutions that meet modern software engineering standards.
Stars: ✭ 42 (+20%)
efficient online learningEfficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
Stars: ✭ 20 (-42.86%)
Github-Stars-PredictorIt's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
Stars: ✭ 34 (-2.86%)
forestErrorA Unified Framework for Random Forest Prediction Error Estimation
Stars: ✭ 23 (-34.29%)
siteCourse materials for the Geo-Python course at the University of Helsinki, Finland
Stars: ✭ 166 (+374.29%)
DDOS Detectionddos attack detector using ML Algorithms
Stars: ✭ 38 (+8.57%)
d3-geomapA library for creating geographical maps based on D3.js
Stars: ✭ 124 (+254.29%)
cliPolyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-48.57%)
Microsoft.SqlServer.Typesa .NET Standard implementation of the spatial types in `Microsoft.SqlServer.Types`
Stars: ✭ 64 (+82.86%)
FlutterIOTVisit our website for more Mobile and Web applications
Stars: ✭ 66 (+88.57%)
random-survival-forestA Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
Stars: ✭ 40 (+14.29%)
labA lightweight command line interface for the management of arbitrary machine learning tasks
Stars: ✭ 17 (-51.43%)
MLDay18Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
Stars: ✭ 15 (-57.14%)
CoreML-samplesSample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Stars: ✭ 38 (+8.57%)
MixingBearPackage for automatic beat-mixing of music files in Python 🐻🎚
Stars: ✭ 73 (+108.57%)
supervised-machine-learningThis repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…
Stars: ✭ 34 (-2.86%)
orange3-geo🍊 🌍 Orange add-on for dealing with geography and geo-location
Stars: ✭ 22 (-37.14%)