402 Open source projects that are alternatives of or similar to amr

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

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

Python implementation of bag-of-concepts

Ladder Variational Autoencoders (LVAE) in PyTorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Unsupervised Representation Learning for Singing Voice Separation

Awesome Graph Self-Supervised Learning

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

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Experiments for understanding disentanglement in VAE latent representations

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

Implementation of VLAE

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

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

Proto-RL: Reinforcement Learning with Prototypical Representations

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

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

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

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

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)

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

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

Contrastive Predictive Coding for Automatic Speaker Verification

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

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

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

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Caffe implementation for "Guided Optical Flow Learning"

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

[ICCV2021] Learning to Track Objects from Unlabeled Videos

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Ἀνατομή is a PyTorch library to analyze representation of neural networks

Using efficientnet to provide embeddings for retrieval

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Dual CNN Models for Unsupervised Monocular Depth Estimation

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Tensorflow 2.0 implementation of Adversarial Autoencoders

Predictive Coding for Locally-Linear Control (ICML-2020)

Linguistica 5: Unsupervised Learning of Linguistic Structure

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Awesome-Cross-Domain-Person-Re-identification

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Draw and classify digits (0-9) in a browser using machine learning

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Experiments on unsupervised point cloud reconstruction.

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

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Must-read papers and resources related to causal inference and machine (deep) learning

ProbSpace 「くずし字」識別チャレンジ 2位解法

Codes and Templates from the SuperDataScience Course

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.