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game2vecTensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
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labA lightweight command line interface for the management of arbitrary machine learning tasks
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lleavesCompiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
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MLDay18Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
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NimbusmlPython machine learning package providing simple interoperability between ML.NET and scikit-learn components.
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vertex-ai-samplesSample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
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cortana-intelligence-customer360This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
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ClaiCommand Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.
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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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PythonPython bindings for BigML.io
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IPL-ML-2018Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/
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support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
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go-tensorflowTools and libraries for using Tensorflow (and Tensorflow Serving) in go
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Awesome Noah AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)
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Encoder-ForesteForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
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Leavespure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
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kaggle-plasticcSolution to Kaggle's PLAsTiCC Astronomical Classification Competition
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df-dn-paperConceptual & empirical comparisons between decision forests & deep networks
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MixingBearPackage for automatic beat-mixing of music files in Python 🐻🎚
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HubA library for transfer learning by reusing parts of TensorFlow models.
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Pac-ManEvolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
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Fuku MlSimple machine learning library / 簡單易用的機器學習套件
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kaggle-toolsSome tools that I often find myself using in Kaggle challenges.
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probabilistic-circuitsA curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
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deepchecksTest Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
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AtlasAn Open Source, Self-Hosted Platform For Applied Deep Learning Development
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PuzzleLibDeep Learning framework with NVIDIA & AMD support
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wolfpacsWolfPACS is an DICOM load balancer written in Erlang.
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Machinelearning SamplesSamples for ML.NET, an open source and cross-platform machine learning framework for .NET.
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autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
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sim2real-docsSynthesize image datasets of documents in natural scenes with Python+Blender3D
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awesome-list-of-awesomesA curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
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informatica-publicPublic code developed during my MSc study at University of Bologna
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Kaggle CompetitionSummary of the Kaggle Stock Prediction Competition & my Trial
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SynapseMLSimple and Distributed Machine Learning
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kaggler🏁 API client for Kaggle
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CAIL2018-toyThe final teamwork of data mining course, CAIL-2018 competition. NOTE: this is just quite SIMPLE and TRIVIAL code.
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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…
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