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In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.
Building LLaMA 4 MoE from Scratch
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
Porting the R code in ISL to python. Labs and exercises
A topic-centric list of HQ open datasets.
COMS W4995 Applied Machine Learning - Spring 19
Practical Python Programming (course by @dabeaz)
Helper notes to understanding deep learning
PDFs and Codelabs for the Efficient Deep Learning book.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Videos, notes and experiments to understand deep learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-ar…
A resource for learning about Machine learning & Deep Learning
Implementing DeepSeek R1's GRPO algorithm from scratch
Building DeepSeek R1 from Scratch
Implementation of a GPT-4o like Multimodal from Scratch using Python
Implementation of all RL algorithms in a simpler way
Complete Reinforcement Learning Toolkit for Large Language Models!
llama3 implementation one matrix multiplication at a time
First-principle implementations of groundbreaking AI algorithms using a wide range of deep learning frameworks, accompanied by supporting research papers.