Alireza Dirafzoon

Machine-Learning-Interviews. This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Production-Level-Deep-Learning. A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Agentic-AI-Systems. Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

LLM-book-2024. Dive into the Foundations of LLMs, System Design Strategies, and the Latest Tools & Updates in Generative AI.

machine-learning-systems-design. A booklet on machine learning systems design with exercises

leetcode-summerizer. Summarize and collect into a DB a collection of LeetCode problems (Description, Solutions, Code, Analysis)

llm-intro-sys-design. An Introduction to Large Language Models (LLMs) and their System Design (By Ex-Meta & Samsung AI)

NLP-progress. Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Python. All Algorithms implemented in Python

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

alirezadir.github.io.

deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

PyTorchNLPBook. Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

web-dev-bootcamp. Full Stack Web Development Bootcamp

deep-learning. Repo for the Deep Learning Nanodegree Foundations program.

pytorch-pretrained-BERT. A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

music-production. This is a repository of my code snippets used in my music production journey.

flair. A very simple framework for state-of-the-art Natural Language Processing (NLP)

openai-cookbook. Examples and guides for using the OpenAI API

build-your-own-x. Master programming by recreating your favorite technologies from scratch.

ai-agents-masterclass. Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!

openai-agents-python. A lightweight, powerful framework for multi-agent workflows

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

llms-sys-design-23.

caffe. Caffe: a fast open framework for deep learning.

transfer-learning-conv-ai. 🦄 State-of-the-Art Conversational AI with Transfer Learning

tensorflow. Computation using data flow graphs for scalable machine learning

dialogflow-messenger-chatbot. JavaScript

Deep-Learning-Papers-Reading-Roadmap. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Rightful. Python

lectures. Oxford Deep NLP 2017 course

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

NLP-Exercises. Jupyter Notebook

LeetCodeAnimation. Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

TensorFlow-Book. Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

rightful-ai.

stanford-cs-230-deep-learning. VIP cheatsheets for Stanford's CS 230 Deep Learning

fsdl-text-recognizer-project. Jupyter Notebook