Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
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M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
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OnnxOpen standard for machine learning interoperability
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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
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SynapseMLSimple and Distributed Machine Learning
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Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
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OpenscoringREST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
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mloperatorMachine Learning Operator & Controller for Kubernetes
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datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
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MmlsparkSimple and Distributed Machine Learning
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NyokaNyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
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Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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ElandPython Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
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Paddle2onnxPaddlePaddle to ONNX model converter
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onnx2tensorRttensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version
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Volksdepvolksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
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AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
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DeepoSetup and customize deep learning environment in seconds.
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Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
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CoachReinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
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Sklearn OnnxConvert scikit-learn models and pipelines to ONNX
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fast retrainingShow how to perform fast retraining with LightGBM in different business cases
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omegamlPython analytics made easy - an open source DataOps, MLOps platform for humans
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HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
Stars: ✭ 182 (+22.15%)
Multi Model ServerMulti Model Server is a tool for serving neural net models for inference
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NetronVisualizer for neural network, deep learning, and machine learning models
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JLBoost.jlA 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
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isarn-sketches-sparkRoutines and data structures for using isarn-sketches idiomatically in Apache Spark
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MmdnnMMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
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NgraphnGraph has moved to OpenVINO
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Gluon2pytorchGluon to PyTorch deep neural network model converter
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docker-kaggle-ko머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
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Kaggle-Competition-SberbankTop 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
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StackingStacked Generalization (Ensemble Learning)
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Tengine-Convert-ToolsTengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.
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stackgbm🌳 Stacked Gradient Boosting Machines
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pmml4s-sparkPMML scoring library for Spark as SparkML Transformer
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neptune-client📒 Experiment tracking tool and model registry
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sklearn-pmml-modelA library to parse and convert PMML models into Scikit-learn estimators.
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ai-servingServing AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
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KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
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mtomoMultiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.
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fdp-modelserverAn umbrella project for multiple implementations of model serving
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mlforecastScalable machine 🤖 learning for time series forecasting.
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model-zoo-oldThe ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format
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gluon2pytorchGluon to PyTorch deep neural network model converter
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Quora question pairs NLP KaggleQuora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
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Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
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