2074 Open source projects that are alternatives of or similar to Lightautoml

Allstate Kaggle Competition ML Capstone Project

《深度学习与计算机视觉》配套代码

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Julia package of loss functions for machine learning.

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Catalyst.Classification

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

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

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

使用sklearn做特征工程

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Automated Data Science and Machine Learning library to optimize workflow.

Simple machine learning library / 簡單易用的機器學習套件

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

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

🗣️ Tool to generate adversarial text examples and test machine learning models against them

An R-focused pipeline toolkit for reproducibility and high-performance computing

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

Tensorflow implementation : U-net and FCN with global convolution

GPstuff - Gaussian process models for Bayesian analysis

Online machine learning methods

📢 Ready to learn or review your knowledge!

Official Implementation of 'Fast AutoAugment' in PyTorch.

A searchable compilation of Kaggle past solutions

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

Features selector based on the self selected-algorithm, loss function and validation method

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Open solution to the TGS Salt Identification Challenge

A Python library for easy data analysis, visualization, exploration and modeling

A New, Interactive Approach to Learning Data Science

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Feature exploration for supervised learning

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

深度学习在推荐系统中的应用及论文小结。

Speech commands recognition with PyTorch

PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

This repository consists of all my Machine Learning Projects.

The repository provides usefull python scripts for ML and data analysis

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Complete-Life-Cycle-of-a-Data-Science-Project

A collection of notebooks of my Machine Learning class written in python 3

An Interactive Approach to Understanding Deep Learning with Keras

A Portfolio of my Data Science Projects

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

A specially designed light version of Fast AutoAugment

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

Project work and Assignments for Machine learning specialization course on Coursera by University of washington