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🌊 Online machine learning in Python
Created
2019-01-24
3,944 commits to main branch, last one 15 days ago
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.
icarl
replay
distillation
deep-learning
generative-models
lifelong-learning
continual-learning
incremental-learning
replay-through-feedback
variational-autoencoder
gradient-episodic-memory
task-incremental-learning
artificial-neural-networks
class-incremental-learning
domain-incremental-learning
elastic-weight-consolidation
Created
2018-09-26
41 commits to master branch, last one 9 months ago
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
automl
pytorch
datumaro
openvino
quantization
deep-learning
computer-vision
machine-learning
object-detection
anomaly-detection
transfer-learning
action-recognition
image-segmentation
image-classification
incremental-learning
self-supervised-learning
semi-supervised-learning
neural-networks-compression
hyper-parameter-optimization
Created
2018-10-26
1,031 commits to develop branch, last one a day ago
(CVPR 2021 Oral) Open World Object Detection
Created
2020-09-29
77 commits to master branch, last one 2 years ago
PyCIL: A Python Toolbox for Class-Incremental Learning
Created
2021-12-23
138 commits to master branch, last one 8 days ago
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Created
2022-03-30
209 commits to main branch, last one 7 months ago
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Created
2020-09-22
11 commits to master branch, last one about a year ago
Evaluate three types of task shifting with popular continual learning algorithms.
Created
2018-11-30
17 commits to master branch, last one 4 years ago
A clean and simple data loading library for Continual Learning
Created
2020-04-11
1,142 commits to master branch, last one about a year ago
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Created
2019-04-02
168 commits to master branch, last one 3 years ago
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 (Neurocomp...
Created
2021-01-29
27 commits to main branch, last one 3 years ago
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Created
2023-08-30
78 commits to main branch, last one 2 days ago
The efficient SMT-based context-bounded model checker (ESBMC)
Created
2015-06-20
24,227 commits to master branch, last one 3 days ago
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Created
2020-06-05
217 commits to master branch, last one about a year ago
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
replay
split-mnist
distillation
deep-learning
brain-inspired
permuted-mnist
split-cifar100
internal-replay
generative-replay
lifelong-learning
continual-learning
incremental-learning
synaptic-intelligence
replay-through-feedback
variational-autoencoder
artificial-neural-networks
elastic-weight-consolidation
Created
2020-08-04
10 commits to master branch, last one 3 years ago
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 classifi...
hat
icarl
tpami
packnet
framework
inaturalist
tinyimagenet
deep-learning
defy-forgetting
neural-networks
continual-learning
classification-tasks
incremental-learning
hyperparameter-tuning
memory-aware-synapses
synaptic-intelligence
gradient-episodic-memory
incremental-moment-matching
elastic-weight-consolidation
Created
2020-04-06
6 commits to master branch, last one 3 years ago
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
Created
2022-08-28
37 commits to main branch, last one about a year ago
PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)
Created
2022-07-10
27 commits to main branch, last one 3 months ago
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Created
2020-09-14
1,003 commits to main branch, last one 6 months ago
The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.
Created
2017-09-06
72 commits to master branch, last one about a year ago
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
Created
2023-03-13
11 commits to main branch, last one 3 months ago
This repository has no description...
Created
2021-11-17
660 commits to master branch, last one 20 days ago
(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
Created
2021-10-19
26 commits to main branch, last one 2 years ago
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
Created
2019-10-25
61 commits to master branch, last one 2 years ago
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Created
2020-11-16
245 commits to main branch, last one about a year ago
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
paper
automl
detection
recognition
awesome-list
deep-learning
meta-learning
computer-vision
interpretability
machine-learning
domain-adaptation
transfer-learning
incremental-learning
graph-neural-networks
reinforcement-learning
artificial-intelligence
self-supervised-learning
natural-language-processing
generative-adversarial-network
reinforcement-learning-resources
Created
2020-10-17
55 commits to main branch, last one 2 years ago
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Created
2018-01-25
870 commits to autoencoders branch, last one 5 years ago
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
Created
2021-03-27
26 commits to main branch, last one about a year ago
PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
Created
2022-10-14
17 commits to master branch, last one about a year ago
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
Created
2022-03-08
31 commits to main branch, last one about a year ago