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48 search results found
Kserve
⭐
3,035
Standardized Serverless ML Inference Platform on Kubernetes
Mars
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2,664
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Automl Gs
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1,642
Provide an input CSV and a target field to predict, generate a model + code to run it.
Training Operator
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1,447
Distributed ML Training and Fine-Tuning on Kubernetes
Auto_ml
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1,442
[UNMAINTAINED] Automated machine learning for analytics & production
Daily Deeplearning
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532
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
Neptune Client
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518
📘 The MLOps stack component for experiment tracking
Featran
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465
A Scala feature transformation library for data science and machine learning
Ai Platform Samples
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403
Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-s
Handson Ml
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277
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Time Series Machine Learning
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220
Machine learning models for time series analysis
Tensorflow Ml Nlp
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157
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Myna
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154
A context awareness framework for Android platform
Zoltar
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140
Common library for serving TensorFlow, XGBoost and scikit-learn models in production.
Coursera Machine Learning Specialization
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120
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Gradient_boosting_tensorflow_xgboost
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119
Benchmarking Gradient Boosting in TensorFlow and XGBoost
Ai Deployment
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116
关注AI模型上线、模型部署
Kaggle Code
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95
A repository for some of the code I used in kaggle data science & machine learning tasks.
Mloperator
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89
Machine Learning Operator & Controller for Kubernetes
Aws Lambda Docker Serverless Inference
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88
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
Open Ce
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87
This repository provides the Open-CE environment files and version definitions for each Open-CE release.
Arch Data Science
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83
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Docker Python Deep Learning
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74
A container for Deep Learning with Python 3
Music Genre Classification
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67
Recognizing the genre of music files using machine learning and deep learning models
Deepko
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63
머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Examples
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60
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
Machine Learning Alpine
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31
Alpine Container for Machine Learning
Dataprocess
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30
慕课网公开课:数据预处理
Qatar_2022_prediction
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29
QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.
Pydatapreprocessing
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26
《Python数据预处理技术与实践》源码下载
Advancedanalyticslabs
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24
Analytics labs notebooks for Statistics and Business School students
Bw2color
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23
给出无类标的黑白图片或视频,在保证语义正确的情况下,利用计算机视觉技术将其转换为彩色
Xgboost Tensorflow Wide And Deep Comparison
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20
Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation
Coursera Deeplearning.ai Stanford University Machine Learning Specialization
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18
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
Quora_question_pairs_nlp_kaggle
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15
Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
Swiftxgboost
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11
Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.
Dcos Jupyterlab Service
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11
JupyterLab Notebook for Mesosphere DC/OS
Amazon Sagemaker Managed Spot Training
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10
Amazon SageMaker Managed Spot Training Examples
Ppmml
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9
Python library for converting machine learning models to pmml file
Ml2rt
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8
Machine learning utilities for model conversion, serialization, loading etc
Apparel Recommendations
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6
Content Based Filtering and Apparel Recommendations.
Ncaa 2018 Mens March Madness
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6
March Madness Predictions
Ml Finance
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5
Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance of the models in order to optimize them Get predictions with enough accuracy to make a stock trading strategy profitable.
Wordrepresentations
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5
Сравнение нескольких способов представления слов для построения языковых моделей
Hep Analysis
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5
hep-analysis aims to reproduce the traditional data-analysis workflow in high-energy physics using Python.
American Express Default Prediction
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5
Machine learning solutions for the American Express credit default prediction Kaggle competition
Osx Dev Setup
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5
Scripts to use for setup development environment on Mac OS X
Machinelearning Docker
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5
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