RegiusQuant's Stars
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
AmruthPillai/Reactive-Resume
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
changgyhub/leetcode_101
LeetCode 101：力扣刷题指南
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
modelscope/agentscope
Start building LLM-empowered multi-agent applications in an easier way.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
ranaroussi/quantstats
Portfolio analytics for quants, written in Python
wondertrader/wondertrader
WonderTrader——量化研发交易一站式框架
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
opendilab/PPOxFamily
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
zixian2021/AI-interview-cards
最完整的AI算法面试题目仓库，1000道，25个类目
yandex-research/rtdl
Research on Tabular Deep Learning: Papers & Packages
ailabx/ailabx
AI量化实验室，专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。
OmicsML/awesome-deep-learning-single-cell-papers
microsoft/causica
shengchaochen82/Awesome-Foundation-Models-for-Weather-and-Climate
A comprehesive survey about foundation models for weather and cliamte data understanding.
yaoweizhang/LHY2022-SPRING
李宏毅（Hung-yi Lee) 2022年春季机器学习课程，包括课件和作业，
hudson-and-thames/backtest_tutorial
clabrugere/pytorch-scarf
Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspired from SimCLR and uses a similar architecture and loss.
malyginvladimir/CQF
This repository stores several Jupyter Notebooks that were developed while studying for the Certificate in Quantitative Finance.
YuanchengFang/dlsys_solution
Homework solutions for CMU 10-414/714 – Deep Learning Systems: Algorithms and Implementation
ShahidIqb/PROST
A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only. PROST uses colab AlhpaFold2 for the prediction of pdb struture from FASTA sequence.
RegiusQuant/ESIDLM
Enhanced Spatial-Temporal Interpretable Deep Learning Model
frankstack/CQF
Certified in Quantitative Finance (CQF) program lead by CQF Institute & Fitch Learning.
Squirtle94/CQF
This repository stores several reports and jupyter notebooks that were developed while studying for the Certificate in Quantitative Finance.
XiaodongYangQF/CQF
The CQF exams cover a wide range of topics, including derivatives pricing and modeling, portfolio & risk management, machine learning, deep learning and numerical methods. Feel free to look around and get in touch if you’d like to chat research.
fbristotti/cqf