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

Log Anomaly Detection - Machine learning to detect abnormal events logs

A simply budget app that predicts where the expenses are being made

A simple machine learning framework written in Swift 🤖

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

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

[ICLR'19] Meta-learning with differentiable closed-form solvers

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

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

A fast xgboost feature selection algorithm

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

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

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

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

Makine Öğrenmesi Türkçe Kaynak

AIXIjs - General Reinforcement Learning in the Browser

R package to interface with OpenML

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

Minimal and clean examples of machine learning algorithms implementations

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

Machine learning plugins for network traffic

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.

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

My personal toolkit for PyTorch development.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

🤖 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.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

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

Information about my experiences on ethical hacking 💀

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

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

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

PHP-ML - Machine Learning library for PHP

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

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/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

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

A machine learning toolkit dedicated to time-series data

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.

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

Learn advanced data science on real-life, curated problems

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".

Make a pull request. Let's hack the ocktober in an innovative way.

Analysis Pipeline for Single Cell ATAC-seq

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

sources for daal4py - a convenient Python API to oneDAL

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

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

100 Days of ML Coding

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

The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms

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

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

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

Stochastic Delta Rule implemented in Pytorch on DenseNet