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20-python-projects

2020

The SQL Server Internals Conference

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

aind2-nlp-capstone

artificial-intelligence

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning

compas-analysis

Data and analysis for 'Machine Bias'

cppnd-route-planning-project

cvnd_exercises

Exercise notebooks for CVND.

deep

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dlnd

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dse210x-assignments

Assignment from the DSE210x course on edX by UC San Diego.

dse210x-statistics-and-probability-in-data-science-using-python

UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastbook

Draft of the fastai book

generativeaiexamples

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

get-things-done-with-prompt-engineering-and-langchain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

getting-started-with-nlp

This repository accompanies the book "Getting Started with Natural Language Processing"

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ik

inside_deep

Inside Deep Learning: The math, the algorithms, the models

kaggle

llama-from-scratch

localgpt

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

manning

Repository for the book Grokking Machine Learning, by Manning Editors