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aiif

Codes and Jupyter notebooks for the book Artificial Intelligence in Finance (O'Reilly).

aima-csharp

C# implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithmsanddatastructure

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

api-guidelines

Microsoft REST API Guidelines

architecture-decision-record

Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation

aspnetcoreangularsignalrsecurity

Security with ASP.NET Core, SignalR and Angular

autofixture

AutoFixture is an open source library for .NET designed to minimize the 'Arrange' phase of your unit tests in order to maximize maintainability. Its primary goal is to allow developers to focus on what is being tested rather than how to setup the test scenario, by making it easier to create object graphs containing test data.

awesome-ai-in-finance

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

awesome-causal-inference

A curated list of awesome Causal Inference resources

awesome-dotnet

A collection of awesome .NET libraries, tools, frameworks and software

awesome-machine-learning

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

awesome-spn

A structured list of resources about Sum-Product Networks (SPNs)

benfords-law

A python class that checks data against Benford's Law empirical distribution

c4-plantuml

C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

chinookaspnetcoreapintier

You can find the Chinook database here for the project https://github.com/cwoodruff/ChinookDatabase

cleanarchitecture

A starting point for Clean Architecture with ASP.NET Core

cmu-10721-philosophy-machine-intelligence

Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".

code-smells-detection

Code smells classifier using automatically extracted source code features by pre-trained Code2Vec and/or LSTM

code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

concurrency-concepts

A guide to concurrency, multi-threading and parallel programming concepts. Explains the differences between every concept, their advantages and disadvantages in detail.

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cs4052_p02_upaal

Timed automata of a lift in UPPAAL.

csharpguidelines

A set of coding guidelines for C# 5.0, C# 6.0 and C# 7.0, design principles and layout rules for improving the overall quality of your code development.

data-science-cheatsheet

data-science-design-manual-notebooks

Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)

data-science-machine-learning-ai-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.