The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

Collection of notebooks about quantitative finance, with interactive python code.

Portfolio and risk analytics in Python

An Open Source text-to-speech system built by inverting Whisper.

Performance analysis of predictive (alpha) stock factors

Quantitative research and educational materials

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

A hackable AI home assistant platform

Source code for my collection of articles on using pandas.

Collection of algorithms for online portfolio selection

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

A python library for time-series smoothing and outlier detection in a vectorized way.

DX Analytics | Financial and Derivatives Analytics with Python

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpyth…

DeltaPy - Tabular Data Augmentation (by @firmai)

Mastering Python for Finance – Second Edition, published by Packt

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

Investment portfolio and stocks analyzing tools for Python with free historical data

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

Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbations.

Visualize RDF data in Jupyter with Pandas

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

demo using FuzzyWuzzy matching company names

Automated PDF containing charts, tables, maps, and analysis of the US economy

The purpose of this repository is to make it as easy as possible to develop and use awesome Panel extensions.

Risk tools for commodities trading and finance