134 Open source projects that are alternatives of or similar to Open-L2O

Personalizing Dialogue Agents via Meta-Learning

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

A JavaScript library to allocate and optimize financial portfolios.

APPM 5630 at CU Boulder

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

Making your benchmark of optimization algorithms simple and open

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Code for FOCAL Paper Published at ICLR 2021

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Code for meta-learning initializations for image segmentation

A course on Optimization Methods

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

Wolfram Language interface to the Gurobi numerical optimization library

A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.

Official implementation of Meta-StyleSpeech and StyleSpeech

Awesome list for Neural Network Optimization methods.

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

FSL-Mate: A collection of resources for few-shot learning (FSL).

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Optimization sample codes on Python

Learning To Compare For Text , Few shot learning in text classification

A Perspective-n-Points-and-Lines method.

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

Python Meta-Feature Extractor package.

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

Information Retrieval in High Dimensional Data (class deliverables)

Meta-DETR: Official PyTorch Implementation

Slides and notebooks for my tutorial at PyData London 2018

Official repository of https://arxiv.org/abs/2111.04040v1

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Semidefinite programming optimization solver

Source code for the examples accompanying the paper "Learning convex optimization control policies."

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Distances to sets for MathOptInterface

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

One-Shot Learning with Triplet CNNs in Pytorch

Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Seminars on optimization methods for DIHT MIPT

Implementation for <Neural Similarity Learning> in NeurIPS'19.

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

모두를 위한 컨백스 최적화

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

awesome few shot / meta learning papers

Functional models and algorithms for sparse signal processing

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

FlexBox is a fexible MATLAB toolbox for finite dimensional convex variational problems in image processing and beyond.

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

Convex optimization for java and scala, built on Apache Commons Math

Large scale convex optimization solvers in julia