BgmLover's Stars
rguo12/KDD24-Conformal
Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
UFund-Me/Qbot
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
SthMax/IEDA-Calendar-Sync
Sync HKUST IEDA Events Calendar to Google Calendar
fcyu/HKUST_PhD_MPhil_thesis_Latex
The Hong Kong University of Science and Technology PhD/MPhil thesis latex template based on the latest official sample (http://pg.ust.hk/guides_n_forms/students/thesis_sample_page_phd.pdf)
BgmLover/iDCF
Implementation of KDD 2023 Debiasing Recommendation by Learning Identifiable Latent Confounders
GAA-UAM/scikit-fda
Functional Data Analysis Python package
hugo2046/QuantsPlaybook
量化研究-券商金工研报复现
HKFoggyU/hkust-thesis
HKUST Thesis LaTeX3 Template (Also available on Overleaf)
AI4Finance-Foundation/FinRL-Meta
FinRL-Meta: Dynamic datasets and market environments for FinRL.
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Musonda2day/Asset-Portfolio-Management-usingDeep-Reinforcement-Learning-
This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.
CFMTech/Deep-RL-for-Portfolio-Optimization
Deep Reinforcement Learning for Portfolio Optimization
microsoft/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.
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
RicardDurall/Benchmarking-Strategies-for-Asset-Allocation
cvxgrp/cvxpylayers
Differentiable convex optimization layers
XiongPengNUS/rsome
Robust Stochastic Optimization Made Easy
google-deepmind/additive_cbug
ZhengyaoJiang/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).
hakuhodo-technologies/scope-rl
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
letianzj/QuantResearch
Quantitative analysis, strategies and backtests
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
grananqvist/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
kirtanp/SCP_bounds
Stochastic Causal Programming for Bounding Treatment Effects
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
vanderschaarlab/synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
RUCAIBox/RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
siamakz/iVAE
VAEs and nonlinear ICA: a unifying framework