Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Classic papers and resources on recommendation

Best Practices on Recommendation Systems

CTR prediction model based on spark(LR, GBDT, DNN)

Knowledge-aware recommendation papers.

[AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

A PyTorch implementation of Ranking Distillation

CTR prediction using FM FFM and DeepFM

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094

Representation learning on large graphs using stochastic graph convolutions.

Google Research

Python - 100天从新手到大师

Pytorch Implementation of Graph Convolutional Neural Networks

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

2021秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理

OpenMMLab Detection Toolbox and Benchmark

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

A framework for data augmentation for 2D and 3D image classification and segmentation

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

Awesome Knowledge Distillation

A simplified implemention of Faster R-CNN that replicate performance from origin paper

A faster pytorch implementation of faster r-cnn