All Projects → aipredict → ai-deployment

aipredict / ai-deployment

Licence: Apache-2.0 License
关注AI模型上线、模型部署

Programming Languages

Jupyter Notebook
11667 projects

Projects that are alternatives of or similar to ai-deployment

Arch-Data-Science
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Stars: ✭ 92 (-38.26%)
Mutual labels:  mxnet, scikit-learn, xgboost, lightgbm
Mljar Supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+544.97%)
Mutual labels:  scikit-learn, xgboost, lightgbm
datascienv
datascienv 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
Stars: ✭ 53 (-64.43%)
Mutual labels:  scikit-learn, xgboost, lightgbm
mloperator
Machine Learning Operator & Controller for Kubernetes
Stars: ✭ 85 (-42.95%)
Mutual labels:  mxnet, scikit-learn, xgboost
Openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Stars: ✭ 536 (+259.73%)
Mutual labels:  scikit-learn, xgboost, lightgbm
AutoTabular
Automatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-65.77%)
Mutual labels:  scikit-learn, xgboost, lightgbm
SynapseML
Simple and Distributed Machine Learning
Stars: ✭ 3,355 (+2151.68%)
Mutual labels:  pyspark, lightgbm, onnx
Hyperparameter hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+334.9%)
Mutual labels:  scikit-learn, xgboost, lightgbm
M2cgen
Transform 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
Stars: ✭ 1,962 (+1216.78%)
Mutual labels:  scikit-learn, xgboost, lightgbm
Mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (+1448.99%)
Mutual labels:  scikit-learn, xgboost, lightgbm
Eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+1562.42%)
Mutual labels:  scikit-learn, xgboost, lightgbm
Mmlspark
Simple and Distributed Machine Learning
Stars: ✭ 2,899 (+1845.64%)
Mutual labels:  pyspark, lightgbm, onnx
Auto ml
[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+946.31%)
Mutual labels:  scikit-learn, xgboost, lightgbm
Nyoka
Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
Stars: ✭ 127 (-14.77%)
Mutual labels:  scikit-learn, xgboost, lightgbm
machine-learning-course
Machine Learning Course @ Santa Clara University
Stars: ✭ 17 (-88.59%)
Mutual labels:  scikit-learn, pyspark, spark-ml
Onnx
Open standard for machine learning interoperability
Stars: ✭ 11,829 (+7838.93%)
Mutual labels:  mxnet, scikit-learn, onnx
mtomo
Multiple 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.
Stars: ✭ 24 (-83.89%)
Mutual labels:  mxnet, onnx
mlforecast
Scalable machine 🤖 learning for time series forecasting.
Stars: ✭ 96 (-35.57%)
Mutual labels:  xgboost, lightgbm
handson-ml
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (+91.28%)
Mutual labels:  scikit-learn, xgboost
gluon2pytorch
Gluon to PyTorch deep neural network model converter
Stars: ✭ 72 (-51.68%)
Mutual labels:  mxnet, onnx
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].