dcai-lab

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

devops_for_the_desperate

The companion code for the book DevOps for the Desperate

dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

dvc-examples

embeddings

fast-python

A repository to document and learn advance python

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

generative_deep_learning_2nd_edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

github-slideshow

A robot powered training repository :robot:

gitignore

A collection of useful .gitignore templates

grokking-relational-database-design

hands-on-generative-ai-with-python-and-tensorflow-2

Hands-On Generative AI with Python and TensorFlow 2, published by Packt

interactive_latencies

Jeff Dean's latency numbers plotted over time

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

js-this-and-function-references

Why do we have function calls without parentheses? And why does "this" behave so strange? Check the corresponding article: https://academind.com/learn/javascript/this-keyword-function-references/

knowledge-graph-for-rag

learn-c-sharp-programming

Learn C# Programming, published by Packt

learn-dbt

lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

llama2.mojo

Inference Llama 2 in one file of pure 🔥

llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

llm-evaluation

Sample notebooks and prompts for LLM evaluation

llm-fundamentals

llm-reading-list

LLM papers I'm reading, mostly on inference and model compression

machine-learning-engineering-with-python-second-edition

machine_learning_examples

A collection of machine learning examples and tutorials.

mathematics-for-ml

🧮 A collection of resources to learn mathematics for machine learning

mathfordeeplearning

Source code for the book "Math for Deep Learning" (No Starch Press)

math_dl_theory_method

Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"