There are 15 repositories under supervised-learning topic.
VIP cheatsheets for Stanford's CS 229 Machine Learning
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Stock Price Prediction using Machine Learning Techniques
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
A deep neural network that learns to drive in video games
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
A simple python OCR engine using opencv
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Code for reproducing Manifold Mixup results (ICML 2019)
Implementing machine learning algorithms from scratch.
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)
Neural networks training pipeline based on PyTorch
Learning to Cluster. A deep clustering strategy.
:speedboat: Label data at scale. Fun and precision included.
Free Resources For Data Science created by Shubham Kumar
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
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
Supervised Semantics-preserving Deep Hashing (TPAMI18)
Advanced High Performance Data Science Toolbox for R by Laurae
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
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.
Smarter Manual Annotation for Resource-constrained collection of Training data
Current state of supervised and unsupervised depth completion methods
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".
A PyTorch implementation of OpenAI's REPTILE algorithm