yzwxx

yzwxx's Stars

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.7k3.3k9114.7k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.6k6251798.2k

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.5k3881515.4k

• mementum/backtrader

  Python Backtesting library for trading strategies

  Language:Python15.5k62504.1k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.6k4807772.5k

• willwulfken/MidJourney-Styles-and-Keywords-Reference

  A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

  12k283151.7k

• 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

  Language:Jupyter Notebook9k112841.3k

• refraction-ray/xalpha

  基金投资管理回测引擎

  Language:Python2.1k53170441

• BloodAxe/pytorch-toolbelt

  PyTorch extensions for fast R&D prototyping and Kaggle farming

  Language:Python1.5k2933123

• simupy/simupy

  A framework for modeling and simulating dynamical systems

  Language:Python602362673

• wbbhcb/stock_market

  Language:Jupyter Notebook602255266

• Mcompetitions/M5-methods

  Data, Benchmarks, and methods submitted to the M5 forecasting competition

  Language:Jupyter Notebook5964814240

• anhquan0412/basic_model_scratch

  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

  Language:Jupyter Notebook595545167

• doda/advances-in-financial-ml-notes

  Language:Jupyter Notebook2679489

• DenisVorotyntsev/CategoricalEncodingBenchmark

  Benchmarking different approaches for categorical encoding for tabular data

  Language:Jupyter Notebook1723338

• antmachineintelligence/mtgbmcode

  mtgbmcode

  Language:C++16741442

• niudd/kaggle-cloud

  Language:Jupyter Notebook1236036

• DenisVorotyntsev/AutoSeries

  Public solution for AutoSeries competition

  Language:Python724225

• abhishekkrthakur/pysembler

  An automatic ensembler of machine learning models in python

  Language:Python678021

• zwkkk/2019-CCF-Sales-Forecast-of-Passenger-Vehicle-Segment-Market

  Language:Jupyter Notebook452024

• songxxiao/m5_compete

  Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition

  Language:Jupyter Notebook422211

• IoannisNasios/M5_Uncertainty_3rd_place

  M5 Uncertainty kaggle competition, 3rd place solution

  Language:Python382113

• cheng-zi-ya/Firm-Characteristics-and-Chinese-Stock-Market

  It is a project that conducts a study on predicting the cross section of Chinese stock market returns with a large panel of 75 individual firm characteristics and also uses “big-data” econometric methods.

  Language:Python326021

• Zukang-Liao/ML4ML-invariance-testing

  ML4ML: Automated Invariance Testing for Machine Learning Models

  Language:Python22300

• DeepWisdom/AutoSeries2019

  Language:Python18505

• DeepBlueAI/AutoSeries

  Language:Python156

• deep-generative-models/deep-generative-models.github.io

  Click Me -->

  Language:HTML9101

• arshjot/Kaggle-M5-Forecasting

  Code for M5 Forecasting (accuracy and uncertainty) competitions hosted on Kaggle

  Language:Python8302

• kahotsang/M5-Demand-Forecasting

  7th placed solution in M5 demand forecasting

  Language:Python8206

• IHiroaki2/kaggle_m5_forecasting

  Language:Python100