442 Open source projects that are alternatives of or similar to machine-learning-scripts

Project page for "The Debugging Book"

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

My dataquest project solutions

Genetic Programming in Python, with a scikit-learn inspired API

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Using python and scikit-learn to make stock predictions

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Public reusable components for Polyaxon

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Object detector from HOG + Linear SVM framework

The "Python Machine Learning (2nd edition)" book code repository and info resource

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

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

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

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

This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.

A scikit-learn based module for multi-label et. al. classification

Machine learning toolkits with Python

Automated Machine Learning with scikit-learn

Examples and demos showing how to call functions from the NAG Library for Python

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Course notes for Data Science related topics, prepared in LaTeX

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

scikit-learn cross validators for iterative stratification of multilabel data

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

(Python) transform a document-term matrix to an Okapi/BM25 representation

Framework for setting up predictive analytics services

⏱ Benchmarks of machine learning inference for Go

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Machine Learning Operator & Controller for Kubernetes

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

PipelineAI Kubeflow Distribution

📖 [译] scikit-learn（sklearn） 中文文档

IOTA Developer Essentials

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

Automate code & data workflows with interactive Elixir notebooks

A scikit-learn compatible neural network library that wraps PyTorch

Manage your XYZ Hub or HERE Data Hub spaces from Python.

A high-performance topological machine learning toolbox in Python

Código para workshops Spark com ambiente de desenvolvimento em docker

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

simple Echo State Networks integrated with scikit-learn

Fit interpretable models. Explain blackbox machine learning.

The remote Jupyter kernel/kernels administration utility

A fast, robust Python library to check for offensive language in strings.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A scikit-learn compatible library for anomaly detection

ADAM python client and notebooks

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Fast Best-Subset Selection Library

The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.

Implementations of machine learning algorithm by Python 3

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Jun 2020 scikit-learn sprint