29 Open source projects that are alternatives of or similar to cvaecaposr

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

A collection of deep learning models (PyTorch implemtation)

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

Recognition of Sign Language using Capsule Networks

Generator loss to reduce mode-collapse and to improve the generated samples quality.

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

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

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

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

A PyTorch implementation of alpha-GAN

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

PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.

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

🌊 Online machine learning in Python

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

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

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

A Collection of Variational Autoencoders (VAE) in PyTorch.

Ladder Variational Autoencoders (LVAE) in PyTorch

Official implementation of Dynamical VAEs

Deep active inference agents using Monte-Carlo methods

Deep and Machine Learning for Microscopy

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.

[ICCV 2021 Oral] Deep Evidential Action Recognition

Open Set Recognition