Awesome Open Source

Programming Languages

Search results for python supervised learning

supervised-learning x

120 search results found

100 Days Of Ml Code ⭐ 20,750

100-Days-Of-ML-Code中文版

Mlxtend ⭐ 4,669

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Face.evolve ⭐ 3,074

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Karateclub ⭐ 1,950

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Uis Rnn ⭐ 1,491

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

Imodels ⭐ 1,341

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Refinery ⭐ 1,257

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Self Driving Car In Video Games ⭐ 729

A deep neural network that learns to drive in video games

Mixmatch Pytorch ⭐ 594

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

Complete Life Cycle Of A Data Science Project ⭐ 499

Complete-Life-Cycle-of-a-Data-Science-Project

Simple Ocr Opencv ⭐ 476

A simple python OCR engine using opencv

Selflow ⭐ 371

SelFlow: Self-Supervised Learning of Optical Flow

Neural Pipeline ⭐ 314

Neural networks training pipeline based on PyTorch

Machine Learning Algorithms From Scratch ⭐ 312

Implementing machine learning algorithms from scratch.

🚤 Label data at scale. Fun and precision included.

Manifold_mixup ⭐ 262

Code for reproducing Manifold Mixup results (ICML 2019)

Diffusion Classifier ⭐ 255

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

Learning to Cluster. A deep clustering strategy.

Paddlescience ⭐ 218

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Smarter Manual Annotation for Resource-constrained collection of Training data

Mini Alphastar ⭐ 206

A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

Shallowlearn ⭐ 196

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.

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".

Cnn Svm ⭐ 151

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Malware Classification ⭐ 140

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Input Output Hidden Markov Model (IOHMM) in Python

Interactive_machine_learning ⭐ 132

IPython widgets, interactive plots, interactive machine learning

An extensive machine learning library, made from scratch (Python).

Supervisedchrometrex ⭐ 99

In this project I will try to train Chrome's Trex/Dino character to learn to play by looking my gameplay (Supervised).

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Keras Video Classifier ⭐ 83

Keras implementation of video classifier

Breast Cancer Risk Prediction ⭐ 83

Classification of Breast Cancer diagnosis Using Support Vector Machines

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

Hand Gesture Recognition Using Background Elllimination And Convolution Neural Network ⭐ 70

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

Robo Vln ⭐ 56

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Tetrisrl ⭐ 52

A Tetris environment to train machine learning agents

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

Heart_disease_prediction ⭐ 49

Heart Disease prediction using 5 algorithms

Hope Autonomous Driving ⭐ 45

Autonomous Driving project for Euro Truck Simulator 2 Running on Real World

Dream Go ⭐ 43

Artificial go player based on reinforcement and supervised learning

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Pv_defect_detection ⭐ 38

Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning

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.

Cerebrum ⭐ 32

Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data

Benchmarktransferlearning ⭐ 30

Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis

Wisconsin Breast Cancer ⭐ 27

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Keras Audio ⭐ 27

keras project for audio deep learning

Machine Learning With Scikit Learn Python 3.x ⭐ 27

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This

Machine Learning Nd Portfolio ⭐ 25

Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.

Torchtime ⭐ 25

Benchmark time series data sets for PyTorch

A Hierarchical Transformation Discriminating Generative Model For Few Shot Anomaly Detection ⭐ 25

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Eeg Based Emotion Analysis Using Deap Dataset For Supervised Machine Learning ⭐ 25

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.

Deepneuralnet Chess ⭐ 24

Predict the result of a chess game from a position

Wannapark ⭐ 24

Project aimed at presenting a model to find a vacant parking spot in real time and ensure car safety using Deep Learning (Parking spot Classification and Face recognition).

Speech Emotion Recognition ⭐ 23

Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.

Machine_learning_from_scratch_matlab_python ⭐ 21

Vectorized Machine Learning in Python 🐍 From Scratch

Ssr_bmvc2022 ⭐ 21

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)

Machinera 2020 ⭐ 19

This is an AI Series where we will cover Machine Learning and Deep Learning topics from the very basics.

Hyperspectral Regression ⭐ 18

Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".

This Repo Contains Codes for Machine Learning Models in Python, JAVA and C++

Refinery Python Sdk ⭐ 17

Official Python SDK for Kern AI refinery.

Talk Supervised Learning Tensorflow ⭐ 16

Slides and code of my talk “Introduction to Supervised Learning with TensorFlow”.

64crazyhousedeeplearning ⭐ 15

A deep learning Crazyhouse chess program that uses a Monte Carlo Tree Search (MCTS) based evaluation system and reinforcement to enhance its play style.

Deepsplines ⭐ 15

Learning Activation Functions in Deep (Spline) Neural Networks

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Drowsiness Detection ⭐ 14

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

Emotion Prediction With Quantum5 Neural Network Ai Machine Learning ⭐ 13

Emotion Prediction with Semi Supervised Learning of Machine Learning Software with RC Algorithm - By Emirhan BULUT Emotion-Prediction-with-Quantum5-Neural-Network-AI

A Python framework for deploying recommendation models for form fields.

The Supervised Learning Workshop ⭐ 13

An Interactive Approach to Understanding Supervised Learning Algorithms

Repository for the lectures taught in the course named "Natural Language Processing" at the University of Guilan, Department of Computer Engineering.

Deep Learning ⭐ 12

This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

Convlstm Computer Vision For Structural Health Monitoring Shm And Nondestructive Testing Ndt ⭐ 12

Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing

Face Recognition Convnext ⭐ 11

😉 Face Recognition using Convnext model + Flask

Political Ideology Detection On Twitter ⭐ 11

Predicting Political Ideology of Twitter Users.

Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems

Parkinsons Vocal Analysis Model ⭐ 11

Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.

Document_classification ⭐ 10

Python code for classification of documents into different classes using machine learning

MLPro - The Integrative Middleware Framework for Standardized Machine Learning in Python

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Reasoning Shortcuts ⭐ 10

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

(Multiblock) Partial Least Squares Regression for Python

Fmnet Pytorch ⭐ 10

A Pytorch implementation of: "Deep Functional Maps: Structured Prediction for Dense Shape Correspondence"

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Emotion Recognition Smartwatch ⭐ 9

Data set and source code used in "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study."

Machine Learning Notebooks ⭐ 9

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Support Vector Machine ⭐ 9

An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.

Keyphraseextraction ⭐ 9

Keyphrase Extraction Review

Foundationalml ⭐ 9

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Breast Cancer Diagnosis Using Machine Learning ⭐ 8

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

The Math Of Intelligence ⭐ 8

Implementation of Artificial Intelligence models without using any blackbox or libraries 😎

Learn Ai In 30 Days ⭐ 8

2022年iThome鐵人賽「AI & Data」組佳作【新手也能懂得AI-深入淺出的AI課程】完整程式碼，該文章會從安裝Python開始到

Real Time Ids ⭐ 8

Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (Random forest) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (Auto encoders) for anomaly detection.

Neural Network with external Cognitive Neural Memory (2018)

Machine Learning ⭐ 8

Basic Machine Learning Tutorial

Malware Detection Using Supervised Machine Learning Algorithm ⭐ 8

Nih Chest X Rays Multi Label Image Classification In Pytorch ⭐ 7

Multi-Label Image Classification of Chest X-Rays In Pytorch

Multifactorial Immune Response ⭐ 7

Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features

Related Searches

Python Django (28,897)

Python Flask (17,643)

Python Pytorch (14,861)

Python Dataset (14,792)

Python Machine Learning (14,099)

Python Docker (13,758)

Python Tensorflow (13,739)

Python Command Line (13,351)

Python Deep Learning (13,098)

Python Jupyter Notebook (12,976)

1-100 of 120 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.