Popular GitHub Repositories for Data Structures

Profile-Based Long-Term Memory for AI Applications

This series uncovers the most valuable insights from groundbreaking books in AI, Machine Learning, and Data Science, helping you accelerate your learning journey. Each episode transforms complex theories into practical knowledge, making advanced topics more accessible and actionable.

Foundational library for Kernel methods in pattern analysis and machine learning

Big Data and Machine Intelligence Course in Autumn 2019.

CS50’s Introduction to Artificial Intelligence with Python. This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

Turn your avatar into artwork via algorithm visualization and AI. ?

Big Data and Machine Intelligence Course in Summer 2019.

Quick recall notes and tutorial links for various Math, Machine learning and Deep Learning concepts. Basically, links from where my understanding was maximized.

clone GitHub repositories and prepare their data for ingestion for LLMs.

This is Quantumics.AI's public repository, inviting people from arround the world to contrubute and take advantage of free No code DataOps platform

Crack SWE (ML) / DS MAANG Interviews

A variety of algorithm implementations and short classes, mostly for competitive programming and machine learning.

本项目对四种不同的搜索算法进行了基本比较，展示了它们在不同输入规模下的性能表现。

SYNTHRON CFD Trader PRO is a cutting-edge trading platform featuring raw, custom-designed machine learning models. From reinforcement learning for dynamic strategies to predictive analytics, sentiment analysis, and optimization techniques, it empowers trading across stocks, forex, indices, commodities, futures, and crypto with precision.

利用C/C++、Java、Python及数据结构、标准模板库（STL）和算法解决编程问题

Some better collection implementations than the system library

A payload compression toolkit that makes it easy to create ideal data structures for LLMs; from training data to chain payloads.

Artificial Intelligence Data science coder to data mining, large data processing, EDA on large data, visualization of data

A predictive model for the association of tennis professional players with the use of various features such as player statistics, past performance, and physical attributes to predict the likelihood of a player's success in future matches and tournaments. This machine learning used the linear regression analysis to make its predictions.