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adaptivemaskedproxies

Adaptive Masked Proxies for Few Shot Semantic Segmentation

adm

The code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.

aerialdetection

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

atl-net

The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.

bamc2019

These slides were presented in BAMC 2019

bhtsne

Barnes-Hut t-SNE

caffe

Caffe: a fast open framework for deep learning.

cam

Class Activation Mapping

cfsfdp

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cnn-benchmarks

Benchmarks for popular CNN models

covamnet

The code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.

dn4

The code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

few-shot-learning-meta-learning-on-remote-sensing-papers

Few-shot Learning / Meta-Learning on Remote Sensing Papers

few-shot-object-detection-dataset

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

first_app

ruby on rails

grad-cam

[ICCV 2017] Torch code for Grad-CAM

grad-cam.tensorflow

Implementation of Grad CAM in tensorflow

homura

PyTorch utilities including trainer, reporter, etc.

imagealgorithm

imp

infinite mixture prototypes for few-shot learning

keras-grad-cam

An implementation of Grad-CAM with keras

learn2learn

PyTorch Meta-learning Framework for Researchers

libfewshot

LibFewShot: A Comprehensive Library for Few-shot Learning.

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lvdmaaten.github.io

Website of Laurens van der Maaten

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"