aoyama-t-ml Goto Github PK

continual-learning

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.

deep_rl_regions

denoising-autoencoder-cifar-10

Implemented a denoising a denoising algorithm on cifar-10 dataset

equiv-nn-svm

Codes for NeurIPS 2021 paper "On the Equivalence between Neural Network and Support Vector Machine".

knowledge-distillation

mixture-of-experts

A replication of the paper "Adaptive Mixtures of Local Experts" applied to the CIFAR-10 image classification dataset.

ntk

Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK

prml

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

python_image_recognition

書籍「Pythonで学ぶ画像認識」のコードを配置したリポジトリです

raft

supportnet

SupportNet: solving catastrophic forgetting in class incremental learning with support data