413 Open source projects that are alternatives of or similar to subwAI

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

Parametric Contrastive Learning (ICCV2021)

Neural networks training pipeline based on PyTorch

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

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

Ella - The Game

LibFewShot: A Comprehensive Library for Few-shot Learning.

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

Advanced High Performance Data Science Toolbox for R by Laurae

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

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

【火炉炼AI】-机器学习系列文章

Traffic Sign Recognition with Keras.

A PyTorch implementation of OpenAI's REPTILE algorithm

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Keras implementation of video classifier

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

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

Pre-trained VGG-Net Model for image classification using tensorflow

PHP-ML - Machine Learning library for PHP

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

Real time image classification with React Native and Tensorflow lite.

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

IPython widgets, interactive plots, interactive machine learning

image classifier, retrained for specific classes

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".

Pytorch implementation of pyramidnet

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

My main Machine Learning class

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

Free Resources For Data Science created by Shubham Kumar

Chrome browser extension for using TensorFlow image recognition on web pages

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

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

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

Supervised Semantics-preserving Deep Hashing (TPAMI18)

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

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.

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.

GPU Javascript Library for Machine Learning

Binary Image Classification in TensorFlow

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

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

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

PyTorch implementation of shake-drop regularization

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 simple python OCR engine using opencv

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

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

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

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

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

Implementation of Conv-based and Vit-based networks designed for CIFAR.