113 Open source projects that are alternatives of or similar to CVPR21_PASS

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

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

No description or website provided.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

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

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

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Class Normalization for Continual Zero-Shot Learning

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

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

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

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

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

A curated list of awesome graph & self-supervised-learning-based recommendation.

Implementation of Barlow Twins paper

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

List of Publications in Graph Contrastive Learning

AirLoop: Lifelong Loop Closure Detection

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Generalized Deep Metric Learning.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Life-Disciplines-Projects (LDP) is a life-management framework built within Obsidian. Feel free to transform it for your own personal needs.

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

EsViT: Efficient self-supervised Vision Transformers

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Variants of Vision Transformer and its downstream tasks

supervised and semi-supervised image classification with self-supervision (Keras)

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Official Code Repository for "Gradient Projection Memory for Continual Learning"

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

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

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

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

Awesome Graph Self-Supervised Learning

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving

Neural Relation Understanding: neural cardinality estimators for tabular data

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

official implemntation for "Contrastive Learning with Stronger Augmentations"

lifelong learning: record and analysis of my knowledge structure

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Exploring Simple Siamese Representation Learning

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

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

What I consider the best practices for web and software development.

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

Official PyTorch implementation of Contrastive Learning of Musical Representations