John's Projects
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
[CIKM 2023] This is the official source code of "AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation" based on RecBole.
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
Adaptive Graph Convolutional Recurrent Network
[Walmart Recruiting - Store Sales Forecasting] The Kaggle Competition Solution: Adaptive Graph Convolutional Network for Walmart Recruiting Store Sales Forecasting
Instruct-tune LLaMA on consumer hardware
A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
Web interface for browsing, search and filtering recent arxiv submissions
Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Hierarchical Attention Networks for Document Classification in PyTorch
Google Brain AutoML
The source code of Automatic Machine Learning (AutoML) with Auto-Sklearn Toolkit for AETA Earthquake Prediction.
Implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"
In this project, we focus on collection the anchor free object detection paper or code.
A curated list of awesome computer vision resources
A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
A collection of resources and papers on Diffusion Models
Graph Neural Network
Awesome papers, datasets and projects about the study of large language models like GPT-3, GPT-3.5, ChatGPT, GPT-4, etc.
Curating the best GPT3 tools and resources
Awesome Graph Self-Supervised Learning
A curated list of awesome graph & self-supervised-learning-based recommendation.
A collection of various awesome lists for hackers, pentesters and security researchers
A curated list of deep learning image classification papers and codes
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent