#Supervised-learning
Showing 60 of 81 repositories tagged #supervised-learning, ranked by stars
100-Days-Of-ML-Codeไธญๆ็
VIP cheatsheets for Stanford's CS 229 Machine Learning
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
A library of extension and helper modules for Python's data analysis and machine learning libraries.
๐ฅ๐ฅHigh-Performance Face Recognition Library on PaddlePaddle & PyTorch๐ฅ๐ฅ
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
๐ FREE AI Resources - ๐ Courses, ๐ท Jobs, ๐ Blogs, ๐ฌ AI Research, and many more - for everyone!
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Interpretable ML package ๐ for concise, transparent, and accurate predictive modeling (sklearn-compatible).
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Stock Price Prediction using Machine Learning Techniques
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
๐ Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
A deep neural network that learns to drive in video games
Complete-Life-Cycle-of-a-Data-Science-Project
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
A simple python OCR engine using opencv
Current state of supervised and unsupervised depth completion methods
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
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
One-click training of your own GPT. Training a GPT has never been easier for beginners. / ไธ้ฎ้ข่ฎญ็ป+SFTไธไธชๅฑไบ่ชๅทฑ็LLM๏ผ0ๅบ็ก่ฎญ็ปGPTๅๆฅๅฏไปฅ่ฟไน็ฎๅ๏ผ
:speedboat: Label data at scale. Fun and precision included.
Free Resources For Data Science created by Shubham Kumar
Learning to Cluster. A deep clustering strategy.
Classification of Breast Cancer diagnosis Using Support Vector Machines
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
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.
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation
IPython widgets, interactive plots, interactive machine learning
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Probabilistic Learning for mlr3
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A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decisionย processes to predict future game states
PHP-MLX (php-ml next generation) - Machine Learning library for PHP
In this project I will try to train Chrome's Trex/Dino character to learn to play by looking my gameplay (Supervised).
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
Data Science + ML Cheat Sheet collection by me
A comprehensive paper list of deep learning for crack detection, in terms of learning paradigms, generalizability and datasets.
A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
๐Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Scikit-Longitudinal (Sklong) your tailored (health) Longitudinal machine learning library built on top of Scikit-Learn
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
Khiops is an AutoML suite for supervised and unsupervised learning
Multi-Label Image Classification of Chest X-Rays In Pytorch
This project implements a supervised deep learning system that learns to autonomously control a vehicle in the Countryside level of Hill Climb Racing. Using computer vision and a convolutional neural network (CNN), the model observes raw gameplay frames and predicts the correct driving action in real time โ mimicking human input.
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions