mlreefThe collaboration workspace for Machine Learning
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MLOpsA project-based course on the foundations of MLOps with a focus on intuition and application.
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machine-learning-notebooks🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.
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MachineLearningImplementations of machine learning algorithm by Python 3
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random-fourier-featuresImplementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
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online-course-recommendation-systemBuilt on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
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mlops-platformsCompare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
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tracemlEngine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon.
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awesome-open-mlopsThe Fuzzy Labs guide to the universe of open source MLOps
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recommendations-for-engineersAll of my recommendations for aspiring engineers in a single place, coming from various areas of interest.
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fastapi-templateCompletely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.
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ugtmugtm: a Python package for Generative Topographic Mapping
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Handwritten-Digits-Classification-Using-KNN-Multiclass Perceptron-SVM🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
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calcuMLatorAn intelligently dumb calculator that uses machine learning
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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
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pyHSICLassoVersatile Nonlinear Feature Selection Algorithm for High-dimensional Data
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artificial neural networksA collection of Methods and Models for various architectures of Artificial Neural Networks
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PyLDAA Latent Dirichlet Allocation implementation in Python.
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bonsai-dtProgrammable Decision Tree Framework
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craneCrane is a easy-to-use and beautiful desktop application helps you build manage your container images.
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ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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krshA declarative KubeFlow Management Tool
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vlainic.github.ioMy GitHub blog: things you might be interested, and probably not...
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BoostSRLBoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
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oomstoreLightweight and Fast Feature Store Powered by Go (and Rust).
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Intention-Mining-Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…
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normalizing-flowsImplementations of normalizing flows using python and tensorflow
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RapLyrics-BackModel training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project
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Self-Driving-CarImplemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track
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Innovative-Book-ResourcesThis repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).
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Anomaly Detectionanomaly detection with anomalize and Google Trends data
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spams-pythonA rehost of the python version of SPArse Modeling Software (SPAMS)
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ExConExCon: Explanation-driven Supervised Contrastive Learning
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datascience-mashupIn this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
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extra-modelCode to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
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Tf-RecTf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
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darwinDarwin C++ and Python Machine Learning Framework for Cyber Security
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lbfgsb-gpuAn open source library for the GPU-implementation of L-BFGS-B algorithm
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Machine-Learning-ExplainedLearn the theory, math and code behind different machine learning algorithms and techniques.
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PROSACPROSAC algorithm in python
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AgePredictorAge classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum
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aml-deployGitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
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ml-aiML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
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MLOps-Specialization-NotesNotes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
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ck-mlopsA collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:
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mloperatorMachine Learning Operator & Controller for Kubernetes
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Binary-Neural-NetworksImplemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.
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tensorflow-rbmTensorflow implementation of the Restricted Boltzmann Machine
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damaa simplified machine learning container platform that helps teams get started with an automated workflow
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ml in productionA set of demo of deploying a Machine Learning Model in production using various methods
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e2eml-cookiecutterA generic template for building end-to-end machine learning projects
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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.
Stars: ✭ 48 (-56.36%)
subsemblesubsemble R package for ensemble learning on subsets of data
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perceptronThe simplest Perceptron you'll ever see
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