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Top 83 supervised-learning open source projects

Advanced High Performance Data Science Toolbox for R by Laurae
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.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
🚤 Never spend O(n) to annotate data again. Fun and precision come free.
Cnn Svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Machine Learning Models
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
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
Reptile Pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Isl Python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Uis Rnn
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Gru Svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Eeg Based Emotion Analysis Using Deap Dataset For Supervised Machine Learning
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
Lightning Bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Annotated Semantic Relationships Datasets
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Manifold mixup
Code for reproducing Manifold Mixup results (ICML 2019)
Alphagozero Python Tensorflow
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
A Tetris environment to train machine learning agents
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
Chess reinforcement learning by AlphaZero methods.
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