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bayesian-reasoning-machine-learning

Code and notes for "Bayesian Reasoning and Machine Learning

biosppy

Biosignal Processing in Python

cada-vae-pytorch

Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cs7643-deeplearning

CS7643-DeepLearning

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deepul

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dpgn

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

ece-6612

ECE 6612 (Computer Network Security)

ecg-classification

ECG Arrhythmia classification using CNN

facies_classification_benchmark-1

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (submitted to the SEG Interpretation Journal 2019).

faciesclassificationweakstrongsupervision

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

fewshotvision

Code for Master research internship report : https://arxiv.org/abs/1909.13579

generalized-zero-shot-learning-via-aligned-variational-autoencoders

This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)

heartrate_analysis_python

Python Heart Rate Analysis Package, for both PPG and ECG signals

ici-fsl

This repository contains the code for our paper "Instance Credibility Inference for Few-Shot Learning" in CVPR, 2020.

ignite

High-level library to help with training neural networks in PyTorch

learn2learn

A PyTorch Library for Meta-learning Research

learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

mva

Projects at MVA 2015-2016

negative-margin.few-shot

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

pdfs

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

prototransfer

Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"