Papers on Computational Advertising

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

Reference models and tools for Cloud TPUs.

Learning to Rank in TensorFlow

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Google AI 2018 BERT pytorch implementation

The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.

This repository maintains codes for tencent advertisement algorithm competition 2018. Our codes ranked the 3rd place in the final round.

A natural language modeling framework based on PyTorch

ICME2019&字节跳动 短视频内容理解与推荐竞赛rank14方案

字节跳动短视频内容理解和推荐 Track2 Top8

Extensions and tweaks to APRIL Robotics Laboratory apriltag C software

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

SJTU Autonomous sailboat project

Curating a list of AutoML-related research, tools, projects and other resources

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

PyTorch implementations of Generative Adversarial Networks.

AutoML library for deep learning

Object detection, 3D detection, and pose estimation using center point detection:

The author's officially unofficial PyTorch BigGAN implementation.

PyTorch implementation of Adversarially Learned Inference (BiGAN).

UPSNet: A Unified Panoptic Segmentation Network

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

The record of what I‘ve been through. Now moved to Notion. See link below