beijinggao's repositories
BiLSTM-CRF
developed with tensorflow 2.1.0
Ad-papers
Papers on Computational Advertising
autosub
Command-line utility to transcribe/translate from video/audio/subtitles to subtitles
CIKM2020_DMT
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
CVPR2020-Code
CVPR 2020 论文开源项目合集
DeBERTa
The implementation of DeBERTa
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
deepmcp
Deep Matching, Correlation and Prediction (DeepMCP) Model
Depix
Recovers passwords from pixelized screenshots
faceswap-GAN
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
fedlearner
A multi-party collaborative machine learning framework
ithome_tensorflow_series
2020 iThome 鐵人賽 Tensorflow 原始碼
ivPID
Python PID Controller
kys-cpp
《金庸群侠传》c++复刻版，已完工
locust
Scalable user load testing tool written in Python
MASS
MASS: Masked Sequence to Sequence Pre-training for Language Generation
multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
obs-studio
OBS Studio - Free and open source software for live streaming and screen recording
PaddleOCR
Awesome OCR toolkits based on PaddlePaddle （8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices）
polyaxon
Machine Learning Platform for Kubernetes
Recommender-Systems-Competition-TopSolutions
推荐系统竞赛TOP开源解决方案汇总。
scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
SimpleNES
An NES emulator in C++
SmoothNLP
专注于可解释的NLP技术 An NLP Toolset With A Focus on Explainable Inference
SparkInternals
Notes talking about the design and implementation of Apache Spark
SSE-PT
Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"