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algorithms

Minimal examples of data structures and algorithms in Python

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

apollo

An open autonomous driving platform

awesome-llm

Awesome-LLM: a curated list of Large Language Model

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

datacamp-python-data-science-track

All the slides, accompanying code and exercises all stored in this repo.

datacampschoolbudget

datacampstatisticalthinking1

datacampstatisticalthinking2

datacampsupervisedlearning

datagrid

Gem to create data grids with sortable columns and filters

deep-learning-with-python-notebooks

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

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

facenet

Face recognition using Tensorflow

fastai

The fast.ai deep learning library, lessons, and tutorials

fastbook

The fastai book, published as Jupyter Notebooks

first_app

generativeaiexamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handsonml

This is a exercise for hands on machine learning using scikit learn and tensor

hipaa-compliance-developers-guide

A developers guide to HIPAA compliance and application development.

home-assistant

:house_with_garden: Open-source home automation platform running on Python 3

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

keras

Deep Learning for humans

linearalgebrearefresher

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machine-learning-for-telecommunications

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

nanogpt

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

ng-scroller