Understanding Deep Learning - Simon J.D. Prince

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

We present the first systematic study on the scaling property of raw agents instantiated by LLMs. We find that performance scales with the increase in the number of agents, using the simple(st) way…

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

A collection of best resources to learn System Design, Software architecture, and prepare for System Design Interviews

A nanoGPT pipeline packed in a spreadsheet

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, AI21, Cohere) using AWS CDK on AWS

Prototype AI agent to test how well AI can help us find and fix security problems

Inference Llama 2 in one file of pure C

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

audible feedback on just how much your browsing feeds into google

The code from the Machine Learning Bookcamp book and a free course based on the book

A JupyterLab extension for browsing S3-compatible object storage

JupyterLab Extensions by Examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A python package for accessible F1 historical data and telemetry

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

Cyberpunk theme for emacs built-in color theme support

Code samples for my book "Neural Networks and Deep Learning"

Models and examples built with TensorFlow

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Python maze solver.

The Numenta Anomaly Benchmark

Generalized Additive Models in Python

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)