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

An Interactive Approach to Understanding Supervised Learning Algorithms

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

A simple python OCR engine using opencv

Implement YOLOv3 with TensorFlow

Toolbox of models, callbacks, and datasets for AI/ML researchers.

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

Neural networks training pipeline based on PyTorch

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

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

Chess reinforcement learning by AlphaZero methods.

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

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 deep neural network that learns to drive in video games

🚤 Never spend O(n) to annotate data again. Fun and precision come free.

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

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

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)

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.

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

VIP cheatsheets for Stanford's CS 229 Machine Learning

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.

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

Text processing library for sentiment analysis and related tasks

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

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

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Stock Price Prediction using Machine Learning Techniques

A PyTorch implementation of OpenAI's REPTILE algorithm

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

Advanced High Performance Data Science Toolbox for R by Laurae

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Code for reproducing Manifold Mixup results (ICML 2019)

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

Implementing machine learning algorithms from scratch.

Keras implementation of video classifier

100-Days-Of-ML-Code中文版

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

Learning to Cluster. A deep clustering strategy.

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

A Tetris environment to train machine learning agents

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Encode Categorical Features

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

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

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

Simple neural network implemented from scratch in C++.

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Machine Learning Course @ Santa Clara University

【火炉炼AI】-机器学习系列文章

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

PHP-ML - Machine Learning library for PHP

Free Resources For Data Science created by Shubham Kumar

Supervised Semantics-preserving Deep Hashing (TPAMI18)

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

IPython widgets, interactive plots, interactive machine learning