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Ex. Meta
- San Francisco, CA
- https://www.linkedin.com/in/alirezadir/
Stars
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.
Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
LLM, RAG, LoRA, QLoRA, langchain, Llama, OpenAI
Community list of startups working with AI in audio and music technology
An Introduction to Large Language Models (LLMs) and their System Design (By Ex-Meta & Samsung AI)
This is a repository of my code snippets used in my music production journey.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Free, open-source tools for Ambisonic 3D panning within Max for Live 10+
A framework for few-shot evaluation of language models.
Summarize and collect into a DB a collection of LeetCode problems (Description, Solutions, Code, Analysis)
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Machine Learning Conference & Summer School Notes. 🦄
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Apply best practices via CheatSheets
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)
PyTorch Tutorial for Deep Learning Researchers
All Algorithms implemented in Python
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Lab materials for the Full Stack Deep Learning Course
🦄 State-of-the-Art Conversational AI with Transfer Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
A very simple framework for state-of-the-art Natural Language Processing (NLP)