millylings Goto Github PK

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

deep-belief-network-and-logistic-regression-for-software-fault-prediction

Recreation of "Deep Learning for Just-In-Time Defect Prediction"

deep-learning-based-defect-prediction-model-for-source-code

distill-nn-tree

Distillation of Neural Network Into a Soft Decision Tree

distilling-the-knowledge-in-neural-network

Teaches a student network from the knowledge obtained via training of a larger teacher network

douban-kgqa

豆瓣书籍,电影类别的知识图谱问答系统

douban-spider

多线程爬虫Get豆瓣电影、演员、书籍、作者信息

effort-aware-and-just-in-time-defect-prediction-with-neural-network

gmdhpy

Multilayered iterational algorithm of the Group Method of Data Handling

hydra

recurrence the paper 《HYDRA：Massively Compositional Model for Cross-Project Defect Prediction》

icse2020

This is the project repository for the paper "Understanding the Automated Parameter Optimization on Transfer Learning for Cross-Project Defect Prediction: An Empirical Study"

just-in-time-defect-prediction

kdtf

Knowledge Distillation using Tensorflow

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

koa2-note

《Koa2进阶学习笔记》已完结🎄🎄🎄

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

metis

Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)

models

Models and examples built with TensorFlow

multilangstructurekd

Structure-Level Knowledge Distillation For Multilingual Sequence Labeling

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

replayed_distillation

Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)

seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

shap

A game theoretic approach to explain the output of any machine learning model.

sldeep

SLDeep: Statement-Level Software Defect Prediction Using Deep-Learning Models on Static Code Features

soft-decision-tree

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

software-defect-prediction

Application of Deep Learning and Feature Extraction in Software Defect Prediction

software-defect-prediction-1