683 Open source projects that are alternatives of or similar to basis-expansions

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

This repository consists of all my Machine Learning Projects.

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

一些常用的机器学习算法实现

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Source code for our "TitleStylist" paper at ACL 2020

The repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

A Java library that trains neural networks with a genetic algorithm.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Misc Statistics and Machine Learning codes in R

Econometrics and data manipulation functions.

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

Implementation of the paper Video Action Transformer Network

sciblox - Easier Data Science and Machine Learning

A middleware to switch fractal serializers in dingo

SG⁺⁺ – the numerical library for Sparse Grids in all their variants.

Multiple Regression Package for PHP

Python library for custom entity recognition using Sklearn CRF

Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

LIBSVM bindings for Julia

A simple TensorFlow implementation of the Transformer

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

A simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.

This repository is a recommended track, designed to get started with Machine Learning.

An automatic machine learning system

Prediction of Blood Pressure from ECG and PPG signals using regression methods.

Image Captioning Using Transformer

Machine Learning algorithms coded from scratch

Framework independent visual testing library

Tools for developing binary logistic regression models

Topic modelling on financial news with Natural Language Processing

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Linear Regression for Julia

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.

A python 3 implementation of decision tree (machine learning classification algorithm) from scratch

Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280

proc(ess)-that - easy extendable ETL tool for Node.js. Written in TypeScript.

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

Jest Svelte component transformer

Python package for interactive data visualization

Ordered Weighted L1 regularization for classification and regression in Python

ALPR model in unconstrained scenarios for Chinese license plates

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

Exemplary, annotated machine learning pipeline for any tabular data problem.

Tidy, Type-Safe 'prediction()' Methods

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Examples of Data Science projects and Artificial Intelligence use cases

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Yet Another ETL in PHP

A random forest

detect objects using svm and opencv

Dummy variable generation with fit/transform capabilities