409 Open source projects that are alternatives of or similar to Meta Learning Papers

Machine Learning Concepts with Concepts

pytorch implementation of Optimization as a Model for Few-shot Learning

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Lending Club Loan data analysis

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Launch machine learning models into production using flask, docker etc.

The repository provides usefull python scripts for ML and data analysis

A high performance implementation of HDBSCAN clustering.

The "Python Machine Learning (1st edition)" book code repository and info resource

machine learning

A script in python to organize your images by similarity.

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

📊 Naive Bayes classifier for JavaScript

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

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

cuML - RAPIDS Machine Learning Library

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

StellarGraph - Machine Learning on Graphs

Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DS&A. Give a Star 🌟 if it helps you.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Log Anomaly Detection - Machine learning to detect abnormal events logs

A simple machine learning framework written in Swift 🤖

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

A fast xgboost feature selection algorithm

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

Modeltime unlocks time series forecast models and machine learning in one framework

AIXIjs - General Reinforcement Learning in the Browser

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

A Repository to store implementation of some of the famous Data Structures and Algorithms (mainly in C/C++/Java/Python) for everyone to learn and contribute.

My personal toolkit for PyTorch development.

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

A machine learning toolkit dedicated to time-series data

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

The source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".

Analysis Pipeline for Single Cell ATAC-seq

sources for daal4py - a convenient Python API to oneDAL

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

A day to day plan for this challenge. Covers both theoritical and practical aspects

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

ProMP: Proximal Meta-Policy Search

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies