Derek Snow

financial-machine-learning. A curated list of practical financial machine learning tools and applications.

industry-machine-learning. A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

machine-learning-asset-management. Machine Learning in Asset Management (by @firmai)

awesome-google-colab. Google Colaboratory Notebooks and Repositories (by @firmai)

data-science-career. Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

business-machine-learning. A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

deltapy. DeltaPy - Tabular Data Augmentation (by @firmai)

pandapy. PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

python-business-analytics. Python solutions to solve practical business problems.

atspy. AtsPy: Automated Time Series Models in Python (by @firmai)

pandasvault. Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

datagene. DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

interactive-corporate-report. ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

business-analytics-and-mathematics-python-book. Advanced Business Analytics and Mathematics with Python (by @firmai)

tsgan. Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))

scrapers. Scrapers from a project in 2018. Yelp, Spyfu, Similarweb, Morningstar, Linkedin, Instagram, Inside, Glassdoor, Facebook, Eat24, Doordash, Angellist.

mtss-gan. MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

techniques. Jupyter Notebook and Python business intelligence tools and techniques. [Raw upload]

ml-fairness-framework. FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

research. Notebooks based on financial machine learning.

firmai.

machine-learning-for-trading. Code for Machine Learning for Algorithmic Trading, 2nd edition.

business-datasets. A selection of business datasets

firmai.github.io. Open Business Analytics and Data Science Research

business-machine-learning-vendors. A directory of the top business machine learning vendors

financial-machine-learning-regulation. A look at regulatory challenges and recommendation in the age of AI. Investigating topics like monopoly formation, machine learning auditability, bias mitigation strategies and automated regulatory monitoring.

python-for-finance. Jupyter Notebook

DeepLearningForTimeSeriesForecasting. A tutorial demonstrating how to implement deep learning models for time series forecasting

reddit-data-science-project-ideas. Reddit Data Science Project Ideas

Datacamp-Courses. Some course contents

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.

simple-machine-learning-glossary. Simple Machine Learning and Data Science Definitions without Copyright

Awesome-Quant-Machine-Learning-Trading. Quant/Algorithm trading resources with an emphasis on Machine Learning

Quant-Finance-Resources. Courses, Articles and many more which can help beginners or professionals.

awesome-ai-in-finance. 🔬 A curated list of awesome machine learning strategies & tools in financial market.

awesome-quant. A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

numfin. Numpy for Finance Examples

universal-portfolios. Collection of algorithms for online portfolio selection

tflm. Advanced Transformations and Interactions for Linear Models using Hybrid Machine Learning Models and SHapley Additive exPlanations

quant-finance-seminars. Weekly Quant Finance Seminars

xaib. XAIB - Explainable AI in Business

tabular-data-generators. A Collection of Cross-Sectional and Time-Series Generators

awesome-deep-trading. List of awesome resources for machine learning-based algorithmic trading

kaggle_learn. Functions used in kaggle competitions: data preprocessing/feature engineering/model training etc. Many of these functions are collected from kaggle community, credits are belong to the authors :)

text_summurization_abstractive_methods. Multiple implementations for abstractive text summurization , using google colab

random-assets. Jupyter Notebook

financial-pde-discovery. Financial PDE Discovery using Machine Learning

google-colab-website. FirmAI Labs - World's First Google Colab Website

datastat. Dataset Statistics to Compare Real or Training Data with Generated or Test Data

functime. Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

art-of-readme. :love_letter: Things I've learned about writing good READMEs.

edgar10q-dataset. Dataset introduced in the paper "Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension"

random-assets-two. HTML

numfy. Fast Vectorised NumPy Functions for Finance

citieslover-public. Allows users to scrape select web pages and upload them to S3 bucket.

iampavangandhi. Hey 👋, Glad to see you here! Check out this repository to learn more about me 🤓. You can also use it to make your awesome GitHub README ✨ (Don't Just Fork, Star Too 😅)

ts-datapoint-selection-vis. Data Point Selection for Line Chart Visualization: analysis notebooks and implementation details

fairdata. A Python package that implements model-agnostic pre-and post-processing to mitigate unfairness in machine learning prediction

fastpages. An easy to use blogging platform, with enhanced support for Jupyter Notebooks.