1223 Open source projects that are alternatives of or similar to MachineLearning

Essential NLP & ML, short & fast pure Python code

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Automated Machine Learning 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…

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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).

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

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scikit-learn cross validators for iterative stratification of multilabel data

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Framework for setting up predictive analytics services

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

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

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.

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Python＆機械学習ライブラリ TensorFlow の使い方の練習コード集。特にニューラルネットワークを重点的に取り扱い。

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I am taking up the #100DaysOfMLCode Challenge 😎

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.

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Fit interpretable models. Explain blackbox machine learning.

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

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

Pedestrian Detection using Non Maximum Suppression

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

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ADAM - A Question Answering System. Inspired from IBM Watson

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

機器學習: Python

A lightweight library for designing and executing workflows in .NET Core

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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.

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A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Federated Principal Component Analysis Revisited!

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Python for chemoinformatics

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

基于情感字典和机器学习的股市舆情情感分类可视化Web

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