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mnist_self_teacher

model-compression-papers

Papers for deep neural network compression and acceleration

mstar_deeplearning_project

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

multivariate-time-series-early-classification

Project is based on the paper "Early classification on multivariate time series". Author Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian, Lingling Wang.

myairportsaliency

Multi-Layer Abstraction Saliency for Airport Detection in SAR Images

naturallanguageprocessing

Natural Language Procesing

negative-margin.few-shot

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

network-speed-and-compression

Network acceleration methods

neurodsp

Digital signal processing for neural time series.

numpy-ml

Machine learning, in numpy

oodgen

Out-of-distribution Detection via Generation - NeurIPS 2019

paper-reading

深度学习论文精读

partmodel-for-sar-target

Yang H, Cao Z, Pi Y, et al. Target Detection in High-Resolution SAR Images via Searching for Part Models[J]. IEEE Geoscience & Remote Sensing Letters, 2017, 14(5):664-668.

pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

pdwsequence

Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism

polyloss

PolyLoss implementation using PyTorch

ppn

IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

prml

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

prototransfer

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

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pt-map

A Few-Shot classification algorithm

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

python_interview_question

关于python的面试题

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-yolov3---remote-sensing-image

a simple practice about using yolov3 to detect remote-sensing image

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rareplanes

regressionnet

Reference source code for "Regression Networks for Meta-Learning Few-Shot Classification".

remote-sensing-object-detection-with-oriented-bouding-box

Some object detection codes for DOTA dataset