belindamao

belindamao's Stars

• jironghuang/trend_following

  Developing a trend following model using futures

  Language:Jupyter Notebook2916

• suhasghorp/PortAnalyticsAdvanced

  Advanced Portfolio Construction and Analysis with Python - Coursera

  Language:Jupyter Notebook1810

• renjiege/Quant_Portfolio_Management

  A deep reinforcement learning model for portfolio management. For more info, check

  Language:Jupyter Notebook147

• AI4Finance-Foundation/FinRL

  FinRL: Financial Reinforcement Learning. 🔥

  Language:Jupyter Notebook9.9k2.4k

• xiekeng/tushare-client

  Language:Python73

• tcloaa/Deep-Portfolio-Theory

  Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

  Language:Jupyter Notebook12962

• chiphuyen/dmls-book

  Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

  2.3k331

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9k1.4k

• zhengqigao/PRML-Solution-Manual

  My Own Solution Manual of PRML

  963127

• WillKoehrsen/hyperparameter-optimization

  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

  Language:Jupyter Notebook621326

• firmai/machine-learning-asset-management

  Machine Learning in Asset Management (by @firmai)

  Language:Jupyter Notebook1.7k458

• juliandewit/kaggle_ndsb2017

  Kaggle datascience bowl 2017

  Language:Python622290

• dhammack/DSB2017

  Code for 2nd place solution to the 2017 National Data Science Bowl

  Language:Python346156

• belindamao/DSB2017

  Code for 2nd place solution to the 2017 National Data Science Bowl

  1

• parrt/random-forest-importances

  Code to compute permutation and drop-column importances in Python scikit-learn models

  Language:Jupyter Notebook599130

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook18.9k6.3k

• zalandoresearch/fashion-mnist

  A MNIST-like fashion product database. Benchmark :point_down:

  Language:Python11.9k3k

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k835

• evaliukz/LeetCode_StudyNotes_Java

  This repository keeps my study notes from practicing LeetCode questions.

  2

• Mooseburger1/Springboard-Data-Science-Immersive

  Language:Jupyter Notebook6326

• BruceWeng/Leetcode-Python

  Language:Python128

• YuexinXu/CIS550-project

  Language:JavaScript11

• NGYB/Stocks

  Programs for stock prediction and evaluation

  Language:Jupyter Notebook346210

• 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.

  Language:Python15.4k2.6k

• changgyhub/notes

  Personal Notes

  15350

• qiyuangong/leetcode

  Python & JAVA Solutions for Leetcode

  Language:Python5.2k1.5k

• cnkyrpsgl/leetcode

  All Python solutions for Leetcode

  Language:Python338170

• luliyucoordinate/Leetcode

  Play Leetcode with different programming language

  Language:C++1.5k481

• howardchenhd/Leetcode-1

  🎓Leetcode solutions in Python 📚

  Language:Python1

• ahmedbesbes/How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python

  A practical guide to topic mining and interactive visualizations

  Language:HTML7449