Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective

Overview

Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective

Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective

Installing

Standard pip instal [Recommended]

TODO

If you are going to use a gpu the do this first before continuing (or check the offical website: https://pytorch.org/get-started/locally/):

pip3 install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html

Otherwise, just doing the follwoing should work.

pip install automl

If that worked, then you should be able to import is as follows:

import automl

Manual installation [Development]

To use library first get the code from this repo (e.g. fork it on github):

git clone [email protected]/brando90/automl-meta-learning.git

Then install it in development mode in your python env with python >=3.9 (read modules_in_python.md to learn about python envs in uutils). E.g. create your env with conda:

conda create -n metalearning python=3.9
conda activate metalearning

Then install it in edibable mode and all it's depedencies with pip in the currently activated conda environment:

pip install -e ~/automl-meta-learning/automl-proj-src/

since the depedencies have not been written install them:

pip install -e ~/ultimate-utils/ultimate-utils-proj-src

then test as followsing:

python -c "import uutils; print(uutils); uutils.hello()"
python -c "import meta_learning; print(meta_learning)"
python -c "import meta_learning; print(meta_learning); meta_learning.hello()"

output should be something like this:

hello from uutils __init__.py in: (metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import meta_learning; print(meta_learning)" (metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import meta_learning; print(meta_learning); meta_learning.hello()" hello from torch_uu __init__.py in: ">
(metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import uutils; print(uutils); uutils.hello()"

       
        

hello from uutils __init__.py in:

        
         

(metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import meta_learning; print(meta_learning)"

         
          
(metalearning) brando~/automl-meta-learning/automl-proj-src ❯ python -c "import meta_learning; print(meta_learning); meta_learning.hello()"

          
           

hello from torch_uu __init__.py in:

            
           
          
         
        
       

Reproducing Results

TODO

Citation

B. Miranda, Y.Wang, O. Koyejo.
Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective. 
(Planned Release Date December 2021).
https://drive.google.com/file/d/1cTrfh-Tg39EnbI7u0-T29syyDp6e_gjN/view?usp=sharing

https://drive.google.com/file/d/1cTrfh-Tg39EnbI7u0-T29syyDp6e_gjN/view?usp=sharing

Pytorch implementation of the DeepDream computer vision algorithm

deep-dream-in-pytorch Pytorch (https://github.com/pytorch/pytorch) implementation of the deep dream (https://en.wikipedia.org/wiki/DeepDream) computer

102 Dec 05, 2022
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering Paper: https://arxiv.org/abs/2103.00762 Running Run on the provided DTU scene cd run ba

Fanbo Xiang 67 Dec 28, 2022
A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

70 Jul 12, 2022
This repository is for the preprint "A generative nonparametric Bayesian model for whole genomes"

BEAR Overview This repository contains code associated with the preprint A generative nonparametric Bayesian model for whole genomes (2021), which pro

Debora Marks Lab 10 Sep 18, 2022
A Deep Learning based project for creating line art portraits.

ArtLine The main aim of the project is to create amazing line art portraits. Sounds Intresting,let's get to the pictures!! Model-(Smooth) Model-(Quali

Vijish Madhavan 3.3k Jan 07, 2023
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Telemanom (v2.0) v2.0 updates: Vectorized operations via numpy Object-oriented restructure, improved organization Merge branches into single branch fo

Kyle Hundman 844 Dec 28, 2022
Discord bot for notifying on github events

Git-Observer Discord bot for notifying on github events ⚠️ This bot is meant to write messages to only one channel (implementing this for multiple pro

ilu_vatar_ 0 Apr 19, 2022
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)

Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer) Introduction By applying the

Son Gyo Jung 1 Jul 09, 2022
Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

How Well Do Self-Supervised Models Transfer? This repository hosts the code for the experiments in the CVPR 2021 paper How Well Do Self-Supervised Mod

Linus Ericsson 157 Dec 16, 2022
Code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation

PiecewiseLinearTimeSeriesApproximation code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation, SIAM Data Mining 20

Daniel Lemire 21 Oct 27, 2022
Building Ellee — A GPT-3 and Computer Vision Powered Talking Robotic Teddy Bear With Human Level Conversation Intelligence

Using an object detection and facial recognition system built on MobileNetSSDV2 and Dlib and running on an NVIDIA Jetson Nano, a GPT-3 model, Google Speech Recognition, Amazon Polly and servo motors,

24 Oct 26, 2022
NLU Dataset Diagnostics

NLU Dataset Diagnostics This repository contains data and scripts to reproduce the results from our paper: Aarne Talman, Marianna Apidianaki, Stergios

Language Technology at the University of Helsinki 1 Jul 20, 2022
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

The GT4SD (Generative Toolkit for Scientific Discovery) is an open-source platform to accelerate hypothesis generation in the scientific discovery process. It provides a library for making state-of-t

Generative Toolkit 4 Scientific Discovery 142 Dec 24, 2022
Cave Generation using metaballs in Blender. Originally created by sdfgeoff, Edited by Myself (Archie Jaskowicz).

Blender-Cave-Generation Cave Generation using metaballs in Blender. Originally created by sdfgeoff, Edited by Myself (Archie Jaskowicz). Installation

2 Dec 28, 2022
Painting app using Python machine learning and vision technology.

AI Painting App We are making an app that will track our hand and helps us to draw from that. We will be using the advance knowledge of Machine Learni

Badsha Laskar 3 Oct 03, 2022
Implementation of algorithms for continuous control (DDPG and NAF).

DEPRECATION This repository is deprecated and is no longer maintaned. Please see a more recent implementation of RL for continuous control at jax-sac.

Ilya Kostrikov 288 Dec 31, 2022
QICK: Quantum Instrumentation Control Kit

QICK: Quantum Instrumentation Control Kit The QICK is a kit of firmware and software to use the Xilinx RFSoC to control quantum systems. It consists o

81 Dec 15, 2022
PyTorch implementation of DirectCLR from paper Understanding Dimensional Collapse in Contrastive Self-supervised Learning

DirectCLR DirectCLR is a simple contrastive learning model for visual representation learning. It does not require a trainable projector as SimCLR. It

Meta Research 49 Dec 21, 2022
Randomized Correspondence Algorithm for Structural Image Editing

===================================== README: Inpainting based PatchMatch ===================================== @Author: Younesse ANDAM @Conta

Younesse 116 Dec 24, 2022
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

EgoNet Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation". This repo inclu

Shichao Li 138 Dec 09, 2022