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.

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.

deep-conv-attr

An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"

make-ipinyou-data

This project is to formalise the iPinYou RTB data into a standard format for further researches.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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.

q-trader

Deep Q-learning driven stock trader bot

rainbow-is-all-you-need

Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow

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.

rlpyt

Reinforcement Learning in PyTorch

RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

a3c_trading

Trading with recurrent actor-critic reinforcement learning

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

dpt-tools

dpt systems study and enhancement

eeg-gnn-ssl

HPMN

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

influence-patterns

Code for the paper https://arxiv.org/pdf/2011.00740.pdf

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

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

Multi-Agent-RL-for-Liquidation

Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis

pdfsam

PDFsam, a desktop application to extract pages, split, merge, mix and rotate PDF files

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).

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"

Reinforcement-learning-for-portfolio-allocation

Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation

ScreenToGif

🎬 ScreenToGif allows you to record a selected area of your screen, edit and save it as a gif or video.

starlink_ns3

http://www.sfu.ca/~anysam/ensc427project.html

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Survival-Analysis-using-Deep-Learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

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.