shuqian-xie's Stars
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
vivienzou1/DL-Notes-for-Interview
deep learning/ machine learning
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
hanxixuana/flowrisk
A Python Implementation of Measures for Order Flow Risk, e.g. VPIN
posquit0/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
DarLiner/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
monty-se/PINstimation
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.
jlevy/the-art-of-command-line
Master the command line, in one page
numpy/numpy
The fundamental package for scientific computing with Python.
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
wch/r-source
Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
ucla-rlcourse/RLexample
Some basic examples of playing with RL
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
kymatio/kymatio
Wavelet scattering transforms in Python with GPU acceleration
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
openai/coinrun
Code for the paper "Quantifying Transfer in Reinforcement Learning"
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Albert-Z-Guo/Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
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.
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
mjuchli/ctc-executioner
Master Thesis: Limit order placement with Reinforcement Learning
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.