85 Open source projects that are alternatives of or similar to class-norm

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

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

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

No description or website provided.

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

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

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

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

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

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

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

Natural Language Processing Toolkit in Golang

Zero-shot image tagging by hierarchical semantic embedding

No description or website provided.

Codes for the ICCV'21 paper "FREE: Feature Refinement for Generalized Zero-Shot Learning"

Sometimes you want to normalize data before saving it to the database like down casing e-mails, removing spaces and so on. This Rails plugin allows you to do so in a simple way.

PlotTwist - a web app for plotting and annotating time-series data

General-Purpose Neural Networks for Sentence Boundary Detection

Zero Shot Learning with Feature Generating Networks

Differential abundance (DA) and correlation analyses for microbial absolute abundance data

零样本学习

A Visual-semantic embedding model using word2vec and CNNs

A best-practices CSS foundation

🔬 Очистка датасетов от мусора (нормализация, препроцессинг)

Normalization and denormalization of GraphQL responses

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper

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

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

A flexible normalizer for user-generated content

[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance

[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

[ICLR 2022] Towards Continual Knowledge Learning of Language Models

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

Golang library for providing a canonical representation of email address.

Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

Filter Response Normalization Layer in PyTorch

NLU: domain-intent-slot; text2SQL

A universe of scope- and type-safe syntaxes (syntices?). Includes generic implementation of type-preserving renaming/substitution with all the proofs you could possibly need.

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

A python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the paper "Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features", published in ICFHR2018.

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

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

The code of Switchable Normalization for object detection based on Detectron.pytorch.

Dialogue Knowledge Transfer Networks (DiKTNet)

URL normalization for Python

Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning

python library for automated dataset normalization

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

🍸 GraphQL Normalized Types

Layer normalization implemented in Keras

Fast in-silico normalization algorithm for NGS data

Collection of custom layers and utility functions for Keras which are missing in the main framework.

AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)

International Components for Unicode for .NET

This package has migrated to https://github.com/rezakj/iCellR please use iCellR instead of scSeqR for more functionalities and updates.

lifelong learning: record and analysis of my knowledge structure

A collection of AWESOME things about domian adaptation

Text Normalization & Inverse Text Normalization