Pinned Repositories
HPMN
Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
autorl-research
The collection of the research works about Automatic Reinforcement Learning in Microsoft Research Asia.
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
SeqML
A repository containing the implementations about our machine learning researches on sequence data and sequential decision making.
bidding-machine
An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
deep-conv-attr
An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
DLF
Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2019 paper with some other (Python) implemented prediction models.
DRSA
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
optimal-ctr-bidding
A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Performance in Display Advertising"
spam-filter
A spam filter in Python
rk2900's Repositories
rk2900/DRSA
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
rk2900/DLF
Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2019 paper with some other (Python) implemented prediction models.
rk2900/deep-conv-attr
An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
rk2900/make-ipinyou-data
This project is to formalise the iPinYou RTB data into a standard format for further researches.
rk2900/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
rk2900/Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying state-of-the-art deep reinforcement algorithms to Stock Trading.
rk2900/q-trader
Deep Q-learning driven stock trader bot
rk2900/rainbow-is-all-you-need
Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow
rk2900/Reinforcement-learning-in-portfolio-management-
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
rk2900/rlpyt
Reinforcement Learning in PyTorch
rk2900/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
rk2900/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
rk2900/a3c_trading
Trading with recurrent actor-critic reinforcement learning
rk2900/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
rk2900/dpt-tools
dpt systems study and enhancement
rk2900/eeg-gnn-ssl
rk2900/HPMN
Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
rk2900/influence-patterns
Code for the paper https://arxiv.org/pdf/2011.00740.pdf
rk2900/JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
rk2900/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
rk2900/Multi-Agent-RL-for-Liquidation
Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis
rk2900/pdfsam
PDFsam, a desktop application to extract pages, split, merge, mix and rotate PDF files
rk2900/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
rk2900/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
rk2900/Reinforcement-learning-for-portfolio-allocation
Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation
rk2900/ScreenToGif
🎬 ScreenToGif allows you to record a selected area of your screen, edit and save it as a gif or video.
rk2900/starlink_ns3
http://www.sfu.ca/~anysam/ensc427project.html
rk2900/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
rk2900/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
rk2900/Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.