Pinned Repositories
PPOProstateCancer
This project applies PPO to individulize the treatment policy for locally advanced prpstate cancer patients.
DesignCTPB
Engineering-optimization
Prog-RL
tfSSSD
Tensorflow version of SSSD
atari-reset
Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
awesome-causality-algorithms
An index of algorithms for learning causality with data
causal-rl
Citadel-Datathon
contrib
Implementations of ideas from recent papers
Michaelrising's Repositories
Michaelrising/Y-intercept
This is the coding test for Y-intercept
Michaelrising/PPOProstateCancer
This project applies PPO to individulize the treatment policy for locally advanced prpstate cancer patients.
Michaelrising/Saccade-Project
init
Michaelrising/Citadel-Datathon
Michaelrising/tfSSSD
Tensorflow version of SSSD
Michaelrising/Stock-Prediction
Michaelrising/mega
Sequence modeling with Mega.
Michaelrising/Engineering-optimization
Michaelrising/S5
Michaelrising/quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Michaelrising/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Michaelrising/New-Grad-Positions-2023
A collection of New Grad full time roles in SWE, Quant, and PM.
Michaelrising/state-spaces
Sequence Modeling with Structured State Spaces
Michaelrising/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Michaelrising/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
Michaelrising/Stock-Strategy-Y-intercept
The strategy for predicting of stock based on the historical data
Michaelrising/SSSD
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
Michaelrising/Mega-pytorch
Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena
Michaelrising/SaccadeCapital
Michaelrising/cookies-weixue100
The valid cookies for weixue100, only for one week.
Michaelrising/awesome-causality-algorithms
An index of algorithms for learning causality with data
Michaelrising/causal-rl
Michaelrising/Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
Michaelrising/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Michaelrising/DeepIPW
Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nature Machine Intelligence).
Michaelrising/Prog-RL
Michaelrising/Time-Dependent-Causal-Effects-Evaluation-in-A-B-Testing-with-a-Reinforcement-Learning-Framework
The code of Numerical Experiment
Michaelrising/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Michaelrising/diffusion_schrodinger_bridge
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
Michaelrising/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)