644 Open source projects that are alternatives of or similar to NimbusML-Samples

機器學習: Python

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Leetcode using AI

Predicting Future Influenza Virus Sequences with Machine Learning

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

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

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…

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

Luk.ai Clients - Federated Machine Learning for Everyone!

Using python and scikit-learn to make stock predictions

Public reusable components for Polyaxon

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

Machine learning toolkits with Python

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

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

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

Cheat Sheets for deep learning and machine learning.

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

Dockerize and deploy machine learning model as REST API using Flask

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

I am taking up the #100DaysOfMLCode Challenge 😎

Automated Machine Learning with scikit-learn

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

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

An Engine-Agnostic Deep Learning Framework in Java

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

Project for serving ML module. This is a gRPC micro-framework.

sources for daal4py - a convenient Python API to oneDAL

⏱ Benchmarks of machine learning inference for Go

scikit-learn cross validators for iterative stratification of multilabel data

Machine learning in Python with scikit-learn MOOC

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

Managed Machine Learning Systems and Internet of Things Live Lesson

Framework for setting up predictive analytics services

Implementations of machine learning algorithm by Python 3

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

GIMLeT – Gestural Interaction Machine Learning Toolkit

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.

Azure Machine Learning Cheat Sheets

📖 [译] scikit-learn（sklearn） 中文文档

This hacktober fest, the only stop you’ll need to make for ML, Web Dev and App Dev - see you there!

A flutter package for Fast, Accurate and Secure Credit card & Debit card scanning

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

a python interface to OC1 and other oblique decision tree implementations

A scikit-learn compatible neural network library that wraps PyTorch

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

A high-performance topological machine learning toolbox in Python

Tool for autodownloading recommendation systems datasets

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.

A chess library for PHP.

Fit interpretable models. Explain blackbox machine learning.

A clustering tutorial with scikit-learn for beginners.

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

MindsDB server allows you to consume and expose MindsDB workflows, through http.

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

Predicting the winner of 2019 cricket world cup using random forest algorithm

The website of Guess.js

Python for chemoinformatics