1445 Open source projects that are alternatives of or similar to Otto

a delightful machine learning tool that allows you to train, test, and use models without writing code

Library for Semi-Automated Data Science

[UNMAINTAINED] Automated machine learning for analytics & production

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Predictive AI layer for existing databases.

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

A repository for recording the machine learning code

Carefully curated resource links for data science in one place

Time Series Forecasting Best Practices & Examples

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

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.

Automatic machine learning for tabular data. ⚡🔥⚡

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Fit interpretable models. Explain blackbox machine learning.

Machine Reading Comprehension in Tensorflow

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

XLNet Extension in TensorFlow

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

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

I am taking up the #100DaysOfMLCode Challenge 😎

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Automated machine learning (AutoML) with grammar-based genetic programming

AutoGluon: AutoML for Text, Image, and Tabular Data

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

ICDSS Machine Learning Workshop Series: Linear Models

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Automated Machine Learning with scikit-learn

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Efficient Learning of Augmentation Policy Schedules

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Cornell Instruction Following Framework

A curated list of project tutorials for project-based learning.

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

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

An open source python library for automated feature engineering

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

Language, Knowledge, Cognition

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

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

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Serverless Inferencing on Kubernetes

🌱 Next-Gen AI-Assisted Isomorphic Application Engine for Embedded, Console, Mobile, Server and Desktop

💬 Machine Learning Course with Python:

Disclaimer: This is not an official Google product.

A Python package to assess and improve fairness of machine learning models.

scikit-learn机器学习库中文文档翻译项目

Interpretability and explainability of data and machine learning models

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Perception and AI components for autonomous mobile robotics.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.