353 Open source projects that are alternatives of or similar to do-it-dl

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

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…

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

🤓🔮🔬 Emoji prediction from a text using machine learning

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Polyaxon Core Client & CLI to streamline MLOps

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Algorithmic trading using machine learning.

I am taking up the #100DaysOfMLCode Challenge 😎

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

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

A scikit-learn compatible library for anomaly detection

2019년 민족사관고등학교 졸업 프로젝트

No description or website provided.

機器學習: Python

利用Logistic回归实现信用卡欺诈检测

Pedestrian Detection using Non Maximum Suppression

Tutorial on deploying machine learning models to production

simple Echo State Networks integrated with scikit-learn

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…

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…

A basic introduction to machine learning (one day training).

Machine learning in Python with scikit-learn MOOC

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:

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Explore machine learning models. Leveraging scikit-learn's models and exposing their behaviour through API

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.

A library to parse and convert PMML models into Scikit-learn estimators.

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…

A Python package for fitting Quinlan's Cubist regression model

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

No description or website provided.

Predict materials properties using only the composition information!

Training time estimation for scikit-learn algorithms

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Machine learning in Matlab using scikit-learn syntax

Automatic machine learning for tabular data. ⚡🔥⚡

A scikit-learn compatible implementation of hyperband

This repository is a recommended track, designed to get started with Machine Learning.

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

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

Public reusable components for Polyaxon

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

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

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

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

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

⏱ Benchmarks of machine learning inference for Go

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

PipelineAI Kubeflow Distribution

REST API (and possible UI) for Machine Learning workflows

Applying machine learning to predict loan charge-offs on LendingClub.com

My textbook for teaching Machine Learning

Content Based Music Recommendation Service

Aircraft engine failure prediction model

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.