Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
12306
12306智能刷票,订票
30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.
abu
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
AFML
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
AIAlpha
Use unsupervised and supervised learning to predict stocks
ConvNeXt
Code release for ConvNeXt model
FinanceOps
Research in investment finance with Python Notebooks
Riskfolio-Lib
Riskfolio-Lib is a library for making quantitative strategic asset allocation or portfolio optimization in Python.
xiaolongguo's Repositories
xiaolongguo/freqtrade
Free, open source crypto trading bot
xiaolongguo/Gymnasium
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
xiaolongguo/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
xiaolongguo/gym
A toolkit for developing and comparing reinforcement learning algorithms.
xiaolongguo/deep-rl-class
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
xiaolongguo/vnpy
基于Python的开源量化交易平台开发框架
xiaolongguo/torchscale
Transformers at any scale
xiaolongguo/ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
xiaolongguo/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
xiaolongguo/CfC
Closed-form Continuous-time Neural Networks
xiaolongguo/algo-trader
Trading bot with support for realtime trading, backtesting, custom strategies and much more.
xiaolongguo/openai-python
xiaolongguo/sktime
A unified framework for machine learning with time series
xiaolongguo/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
xiaolongguo/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
xiaolongguo/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
xiaolongguo/alphafold
Open source code for AlphaFold.
xiaolongguo/tianshou
An elegant PyTorch deep reinforcement learning library.
xiaolongguo/influxdb
Scalable datastore for metrics, events, and real-time analytics
xiaolongguo/netdata
Real-time performance monitoring, done right! https://www.netdata.cloud
xiaolongguo/prometheus
The Prometheus monitoring system and time series database.
xiaolongguo/pycaret
An open-source, low-code machine learning library in Python
xiaolongguo/Python-1
All Algorithms implemented in Python
xiaolongguo/darts
A python library for easy manipulation and forecasting of time series.
xiaolongguo/Book-Mathmatical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathmatical Foundations of Reinforcement Learning."
xiaolongguo/backtrader
Python Backtesting library for trading strategies
xiaolongguo/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.
xiaolongguo/linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
xiaolongguo/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
xiaolongguo/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.