558 Open source projects that are alternatives of or similar to FUSION

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Official adversarial mixup resynthesis repository

Awesome Few-shot learning

No description or website provided.

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

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

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

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Experiments for understanding disentanglement in VAE latent representations

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

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)

Python implementation of bag-of-concepts

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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

LibFewShot: A Comprehensive Library for Few-shot Learning.

Ladder Variational Autoencoders (LVAE) in PyTorch

Keras implementation of Representation Learning with Contrastive Predictive Coding

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

📜 Self-Supervised Learning from Images: Up-to-date reading list.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Proto-RL: Reinforcement Learning with Prototypical Representations

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

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

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

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

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

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

A pytorch compatible data loader to create sequence of tasks for Continual Learning

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Awesome Graph Self-Supervised Learning

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Unsupervised Representation Learning for Singing Voice Separation

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

awesome few shot / meta learning papers

A comprehensive list of awesome contrastive self-supervised learning papers.

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Simplified version of "State Representation Learning for Control: An Overview" bibliography

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Implementation of VLAE

Contrastive Predictive Coding for Automatic Speaker Verification

machine learning algorithms in Swift

Code for FOCAL Paper Published at ICLR 2021

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

Dialogue Knowledge Transfer Networks (DiKTNet)

Deep Metric Transfer for Label Propagation with Limited Annotated Data

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

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