(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

A collection of tools for chemometrics and machine learning written in Julia.

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

A Julia machine learning framework

TiMBL implements several memory-based learning algorithms.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

An Interactive Approach to Understanding Deep Learning with Keras

Classification for covid-19 chest X-ray images using Lightning

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

A comparative assessment of machine learning classification algorithms applied to poverty prediction

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

Implementation of different techniques to find insights from the satellite data using Python.

Python wrapper to small NORB dataset

Generalized Data-free Universal Adversarial Perturbations

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.