Lists (1)
Starred repositories
63
results
for source starred repositories
written in Jupyter Notebook
Clear filter
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
One has no future if one couldn't teach themself.
Companion webpage to the book "Mathematics For Machine Learning"
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Practice your pandas skills!
This repository contains demos I made with the Transformers library by HuggingFace.
QLoRA: Efficient Finetuning of Quantized LLMs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Recipes for using Python's pandas library
Create delightful software with Jupyter Notebooks
Implementing a Neural Network from Scratch
🪼 a python library for doing approximate and phonetic matching of strings.
A curated list of awesome embedding models tutorials, projects and communities.
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…
Tutorials on how to use pandas effectively to do data analysis
A 4-hour coding workshop to understand how LLMs are implemented and used
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…
AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, …
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.