1068 Open source projects that are alternatives of or similar to Competitive-Feature-Learning

PHP-ML - Machine Learning library for PHP

Classifying time series using feature extraction

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Federated Principal Component Analysis Revisited!

An intuitive library to extract features from time series

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Collections of model quantization algorithms

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

ML algorithm for real-time classification

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

The most powerful and customizable binary pattern scanner

ezSIFT: An easy-to-use standalone SIFT library written in C/C++

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

Visualizing and Analyzing Metabolic Networks with Reaction Pattern Recognition

Classification of WAV files from cats and dogs

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

Conceptual & empirical comparisons between decision forests & deep networks

Smart image optimization

Topographic edge detection of fault scarps and other landforms in digital elevation data

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Optimal LZ4 compression

Parameter Server implementation in Apache Flink

Things related to graphs

Online machine learning algorithms (based on OLL C++ library)

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Official repository for "Orthogonal Projection Loss" (ICCV'21)

Espresso Robot Pattern Sample with Spoon Integration

Some parts of my code for the Computer Vision Kaggle Bengali AI Handwritten Grapheme Classification competition

gominfmt makes the Go code more compact to aid further compression; revert with gofmt

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

The Caesium compression library written in Rust

a fast range coder in C++, using SSE

🍰 Architectural design methodology for Frontend projects

Extended globs. Add (almost) the expressive power of regular expressions to glob patterns.

Fastest lz4 compression library in Node.js, powered by napi-rs and lz4-flex.

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data

Create beautiful generative geometric background images from a string ✨ TypeScript port of jasonlong/geo_pattern. Supports both Node.js and Browser.

Molecular informatics toolkit with a comprehensive integration of bioinformatics and cheminformatics tools for drug discovery.

VTEnc C library

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

MiraPy: A Python package for Deep Learning in Astronomy

Pakkero is a binary packer written in Go made for fun and educational purpose. Its main goal is to take in input a program file (elf binary, script, even appimage) and compress it, protect it from tampering and intrusion.

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

PLzmaSDK is (Portable, Patched, Package, cross-P-latform) Lzma SDK.

No description or website provided.

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Fingerprint recognition engine for .NET that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.

Pure Rust bzip2 decoder

R package to Embed All the Things! using StarSpace

CLANA is a toolkit for classifier analysis.