#计算机科学#A curated list of Best Artificial Intelligence Resources
#计算机科学#gesture recognition toolkit
#计算机科学#M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
#计算机科学#Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Learning to create Machine Learning Algorithms
#计算机科学#An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...
#自然语言处理#30 Semi-Supervised Learning Algorithms
#计算机科学#Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
#计算机科学#[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
#计算机科学#✌️ 👌 ✊ 📷 Sign Language Recognition using Python
#计算机科学#Ordinal Regression and Classification Algorithms
#计算机科学#Machine learning semantic segmentation - Random Forest, SVM, GBC
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
LIBSVM for the browser and nodejs 🔥
#计算机科学#Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.