2228 Open source projects that are alternatives of or similar to Arch-Data-Science

关注AI模型上线、模型部署

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

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Machine Learning Operator & Controller for Kubernetes

Alpine Container for Machine Learning

Automatic machine learning for tabular data. ⚡🔥⚡

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

[UNMAINTAINED] Automated machine learning for analytics & production

ADAM - A Question Answering System. Inspired from IBM Watson

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

Precompiled packages for AWS Lambda

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

SciKIt-learn Pipeline in PAndas

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

🍊 📊 💡 Orange: Interactive data analysis

Data Science with Python

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

NLP made easy

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

⏱ Benchmarks of machine learning inference for Go

Stacked Generalization (Ensemble Learning)

Kaggle Struggle

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Building Decision Trees From Scratch In Python

🌳 Stacked Gradient Boosting Machines

📒 Experiment tracking tool and model registry

All the slides, accompanying code and exercises all stored in this repo. 🎈

📚 Various cheatsheets in PDF

Open standard for machine learning interoperability

Code for polyaxon tutorials and examples

central pacman cache

AutoGluon: AutoML for Text, Image, and Tabular Data

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Show how to perform fast retraining with LightGBM in different business cases

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Scalable machine 🤖 learning for time series forecasting.

Tools that make working with scikit-learn and pandas easier.

Machine Learning for Spot Prices

Algorithmic trading using machine learning.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Kaggle Kernels (Python, R, Jupyter Notebooks)

My dataquest project solutions

Conversational text Analysis using various NLP techniques

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Machine Learning University: Decision Trees and Ensemble Methods

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019