camelliahmy Goto Github PK

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-model-compression-and-acceleration

a list of awesome papers on deep model ompression and acceleration

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bic

pytorch implementation of Large Scale Incremental Learning

bmn-boundary-matching-network

A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", which is accepted in ICCV 2019.

camelliahmy.github.io

Elegant theme for Jekyll.

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

clean-net

Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise"

cleanlab

The standard package for machine learning with noisy labels and finding mislabeled data in Python.

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

cvpr19_incremental_learning

Learning a Unified Classifier Incrementally via Rebalancing

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

dlinterview

Deep Learning Interview 深度学习面试题目汇总

extended-ms-coco

face_recognition

The world's simplest facial recognition api for Python and the command line

google-pinyin-dict

由搜狗细胞词库生成的谷歌拼音输入法词典 A dict for Google Pinyin Input, exported from Sougou Pinyin Input.

image-text-embedding

TOMM2020 Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535

interview

📚 C/C++面试知识总结

jointoptimization

Joint Optimization Framework for Learning with Noisy Labels

lal

This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

lihang-code

《统计学习方法》的代码实现

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

mmdetection

OpenMMLab Detection Toolbox and Benchmark

model-compression-acceleration-

pencil

PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.

pencil-1

implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'

preciseroipooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).