161 Open source projects that are alternatives of or similar to Fwumious_wabbit

A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

No description or website provided.

Python implementation of Andrew Ng's ML course projects

Gender recognition by voice and speech analysis

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Fake News Detection in Python

several methods for text classification

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Collection of stats, modeling, and data science tools in Python and R.

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

🎓 Tidy tools for academics

A New, Interactive Approach to Learning Python

The "Python Machine Learning (1st edition)" book code repository and info resource

machine learning algorithm

Credit card fraud detection through logistic regression, k-means, and deep learning.

General Assembly's 2015 Data Science course in Washington, DC

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Learning to create Machine Learning Algorithms

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

A library for factorization machines and polynomial networks for classification and regression in Python.

DeepTables: Deep-learning Toolkit for Tabular data

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

KDD17_FMG

🌊 FluRS: A Python library for streaming recommendation algorithms

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

A lightweight and easy-to-use deep learning framework with neural architecture search.

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

A clean and simple data loading library for Continual Learning

🙋 Belajar daring bersama PHPID

🌊 Online machine learning in Python

Online Learning for Human Detection in 3D Point Clouds