There are 15 repositories under supervised-learning topic.
100-Days-Of-ML-Code中文版
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
Complete-Life-Cycle-of-a-Data-Science-Project
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)
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