117 Open source projects that are alternatives of or similar to drowsiness-detection

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

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.

Deep Learning using Rectified Linear Units (ReLU)

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Unofficial TensorFlow implementation of "AlexNet" architecture.

Vectorized Machine Learning in Python 🐍 From Scratch

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

Using supervised machine learning to build collective variables for accelerated sampling

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

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

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

Classification of Breast Cancer diagnosis Using Support Vector Machines

Parametric Contrastive Learning (ICCV2021)

Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz

keras project for audio deep learning

Heart Disease prediction using 5 algorithms

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

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

My main Machine Learning class

Machine learning, in numpy

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Code for the blog post Nearest Neighbors with Keras and CoreML

Kervolution Library in PyTorch (CVPR 2019 Oral)

A collection of awesome scripts from developers around the globe.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

simple tutorial on Machine Learning with Scikitlearn

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

经典机器学习算法的极简实现

Face recognition using facenet

A header-only C++ library for k nearest neighbor search with Eigen3.

Kernel k Nearest Neighbors in R

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

A machine learning exercise, using KNN to classify deforested areas

Fast k-Nearest Neighbors Classifier for Large Datasets

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Python Clustering Algorithms

Official code for "Mean Shift for Self-Supervised Learning"

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Machine Learning for Spot Prices

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

A document covering machine learning basics. 🤖📊

Automatic license plate recognition for Indonesian plate (White on black)

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In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Animated Visualizations of Popular Machine Learning Algorithms

OCR Machine Learning in python

Building Annoy Index on Apache Spark

Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.