Data structures and algorithms in X minutes. Code examples from my YouTube channel.

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SPIDAR SDK documentation and examples.

This repository contains everything you need to become proficient in ML/AI Research and Research Papers

Curated list of awesome papers and resources in quantum machine learning

This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) a…

Hybrid Quantum-Classical Machine Learning in TensorFlow

A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.

The official Python library for the Google Gemini API

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Documentation for Google's Gen AI site - including the Gemini API and Gemma

MLX: An array framework for Apple silicon

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

10 Weeks, 20 Lessons, Data Science for All!

Ground Penetrating Radar processing and visualization software for python

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Study resources for learning quantum computing

This repo is for the Linkedin Learning course: Quantum Computing Fundamentals

Files for Udemy Course on Algorithms and Data Structures