MOHD FAIZY

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty in data...

Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.

This repo is the comprehensive guide, covering Langchain integration with Huggingface models. Learn to build, deploy, and optimize cutting-edge AI applications through hands-on projects and real-wo...

This project implements GPT-1 using PyTorch, focusing on foundational transformer architectures for natural language processing tasks.

An end-to-end interactive curriculum for Applied Deep Learning and LLM Development. Features Jupyter Notebooks covering PyTorch, Transformers, LoRA/QLoRA, RAG, and LLMOps.

A minimalist, educational Language Model built from scratch using PyTorch. Learn the core of LLMs, one module at a time.

A deep-dive, interactive study guide for mastering the Transformer architecture and its mathematical foundations.

A comprehensive, curated directory of 80+ categories of foundational and breakthrough open-source AI repositories, frameworks, and production tools.

A comprehensive repository covering RAG, agents, tool use, LLM-as-a-judge, safety, and production observability.

Hands-on OpenCV notebooks, featuring an offline asset pipeline and consistent learning flows for computer vision development.

Demo repository for the omni-eda Python package, generating high-quality visual, statistical, and tabular EDA summaries across multiple datasets.

Production-ready implementations of 20 RAG architecture patterns using Python & LangChain for robust AI retrieval and context engineering.

Python simulations for Electronics & Communication Engineering (ECE). Interactive Matplotlib plots and console logs covering random processes, digital modulation, coding theory, wireless channels, 5G NR, MIMO, and radar systems.

Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum physics and machine learning.

Learning path for adversarial LLM security and alignment. Contains structured defensive coding labs, threat modeling exercises, and model hardening checkable suites using pure Python.

Mathematical and statistical foundations for AI, ML, DL, Transformers, Reinforcement Learning, and Agentic Systems.

This repository contains the code and resources for "Natural Language Processing in Python" — covering the core skills needed to convert unstructured text into valuable insights using NLP.

Hands-on implementation of modern Retrieval-Augmented Generation (RAG) systems using LangChain, LangGraph, vector databases, RAGAS, and Agentic AI workflows.

Welcome to the PyTorch Essentials repository! Covers fundamental to advanced topics related to PyTorch, providing comprehensive resources for learning and mastering this powerful deep learning framework.

Exploring the fundamentals of reinforcement learning (RL) to build agents capable of navigating complex real-world environments and enhancing the training of large language models (LLMs).

A machine-learning pipeline that fuses real-time signals from military aviation, civic anomalies, geopolitical news sentiment, and global financial markets to output a continuously updated probability of imminent military conflict.

Repository containing Keras implementations for Deep Learning architectures. Includes modules on Advanced Deep Learning techniques, Image Modeling (CNNs), Recurrent Neural Networks (RNNs), and real-world case studies.

This repository contains a collection of hacks and tips for feature engineering. It is a great resource for anyone who wants to learn how to improve the performance of their machine learning models.

Comprehensive guide to Hugging Face, featuring notebooks on LLMs, Multi-modal models, Computer Vision, fine-tuning, and AI Agents.

Comprehensive guide and hands-on implementations for the Model Context Protocol (MCP), enabling seamless integration between Large Language Models and external tools, resources, and systems.

Efficiently search and retrieve information from PDF documents using DeepSeek-R1 (1.5B), FAISS for high-speed vector search, Hugging Face NLP, Streamlit UI, and Ollama support.

A Python-based simulation of the Prisoner's Dilemma to analyze strategies, payoff dynamics, and game-theoretic equilibria.

This repository contains tools that allow us to import, clean, manipulate, and visualize data — including Python libraries like pandas, NumPy, and Matplotlib to work with real-world datasets and learn statistical and machine learning techniques.