Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for incremental learning
incremental-learning
x
83 search results found
River
⭐
4,748
🌊 Online machine learning in Python
Continual Learning
⭐
1,190
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Training_extensions
⭐
1,119
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Owod
⭐
894
(CVPR 2021 Oral) Open World Object Detection
Pycil
⭐
613
PyCIL: A Python Toolbox for Class-Incremental Learning
Best Incremental Learning
⭐
457
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Facil
⭐
425
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Continuum
⭐
343
A clean and simple data loading library for Continual Learning
Esbmc
⭐
221
The efficient SMT-based context-bounded model checker (ESBMC)
Incremental_learning.pytorch
⭐
210
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Pysad
⭐
200
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Brain Inspired Replay
⭐
169
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Continual Learning Benchmark
⭐
158
Evaluate three types of task shifting with popular continual learning algorithms.
Lamda Pilot
⭐
134
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Online Continual Learning
⭐
133
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
Fwumious_wabbit
⭐
128
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Tornado
⭐
119
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
Incremental_training
⭐
96
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
Tiddlymemo
⭐
84
TiddlyMemo uses advanced Incremental Learning concepts to make it your powerful second brain for acquiring lifelong knowledge.
Nonce2vec
⭐
83
Incremental learning of word embeddings with context informativeness.
Awesome Artificial Intelligence Research
⭐
80
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
Deep River
⭐
79
Incremental Learning
⭐
76
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Fcil
⭐
73
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
Cvpr21_pass
⭐
72
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
Iod
⭐
63
(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
Streamad
⭐
63
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Clsurvey
⭐
61
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
Cvpr_clvision_challenge
⭐
60
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
Revisitingcil
⭐
53
The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.
Doubleadapt
⭐
42
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Continual Learning Benchmark
⭐
42
Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.
Il Semsegm
⭐
38
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
Cvaecaposr
⭐
36
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Eli
⭐
35
(CVPR 2022) Energy-based Latent Aligner for Incremental Learning
Generative_continual_learning
⭐
33
Clrec
⭐
33
Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
Supportnet
⭐
32
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Overcoming Catastrophic Forgetting In Neural Networks
⭐
29
Elastic weight consolidation technique for incremental learning.
Cls Er
⭐
29
The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System""
Continual_learning_data_former
⭐
28
A pytorch compatible data loader to create sequence of tasks for Continual Learning
Mdil Ss
⭐
28
Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022
Ml Mcu
⭐
28
Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Tidme
⭐
27
Tidme uses advanced Incremental Learning concepts to make it your powerful second brain for acquiring lifelong knowledge.
Rcm
⭐
27
The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".
Merlin
⭐
27
(NeurIPS 2020) Meta-Consolidation for Continual Learning
Incrementaltrees
⭐
26
Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.
Cwd
⭐
25
Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning"
Ssldpca Il Faultdetection
⭐
23
Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)
Incloud
⭐
22
InCloud: Incremental Learning for Point Cloud Place Recognition IROS2022 https://arxiv.org/abs/2203.00807
Saic Unsupervised Landmark Detection Neurips2019
⭐
20
Code for paper "Object landmark discovery through unsupervised adaptation"
Continuemkgc
⭐
17
Code for the paper "Continual Multimodal Knowledge Graph Construction"
Mrn
⭐
17
Official Pytorch implementations of MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition (ICCV 2023)
Rivertext
⭐
17
RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
Train_plus_plus
⭐
17
Repo and code for paper Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices
Sail
⭐
16
Library for streaming data and incremental learning algorithms.
Fusion
⭐
15
PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
Keras Imprinting
⭐
14
论文Low-Shot Learning with Imprinted Weights 的keras 版简要实现;
Mas Pytorch
⭐
14
A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
Iclr23 Memo
⭐
14
The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
Clhive
⭐
13
A PyTorch framework for Continual Learning research.
Cvpr20_clvision_challenge
⭐
12
1'st Place approach for CVPR 2020 Continual Learning Challenge
Cil_segmentation
⭐
12
[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
Il2a
⭐
12
PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
Clad
⭐
11
Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.
A Pytorch Tutorial To Class Incremental Learning
⭐
10
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
Cnll Continual_learning_noisy_labels
⭐
10
Official Implementation of CVPR 2022 workshop paper "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"
Streamndr
⭐
10
Novelty detection for data streams in Python
Spextor
⭐
10
🔎 📄 SpExtor: Sparse Entity Extractor
Slimebot Volleyball
⭐
9
3D gym environments to train RL agents to play the Slime Volleyball game in 3 dimensions using Webots as simulator.
Thor Public
⭐
9
AutoML tools for solving Time-Varying High-Dimensional Ordinal Regression Problems
Cl_anthology
⭐
9
An anthology of recent continual learning papers, where people interested in this fascinating topic can start discovering its multidimensional representations.
Gantree
⭐
9
Code release for "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions", ICCV 2019
Ar1 Pytorch
⭐
8
AR1* with Latent Replay, implemented in PyTorch
Sail
⭐
8
Sentiment Analysis with Incremental Learning
Dcil
⭐
6
Official implementation of Deep Class Incremental Learning from Decentralized Data (IEEE TNNLS 22)
Subspace Reg
⭐
6
Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
Gaenari
⭐
6
c++ incremental decision tree
Optimized One Vs One Algorithm
⭐
5
Code for AAAI poster paper title 'Training up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm'
Sslad
⭐
5
3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A - Continual Learning Classification Challenge
Cscct
⭐
5
Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"
Continual_learning_with_vit
⭐
5
Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"
Tarc
⭐
5
Official repo for "Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach"
1-83 of 83 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.