GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

A playbook for systematically maximizing the performance of deep learning models.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

A list of AI autonomous agents

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

The fastai book, published as Jupyter Notebooks

Magenta: Music and Art Generation with Machine Intelligence

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

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

llama3 implementation one matrix multiplication at a time

Library for building powerful interactive command line applications in Python

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

The Udacity open source self-driving car project

🌊 Online machine learning in Python

Personal notes for SAA-C02 test from: https://learn.cantrill.io

Source code behind the python-patterns.guide site by Brandon Rhodes

Course Files for AWS Certified Solutions Architect Certification Course (SAAC02) - Adrian Cantrill

Minimal and annotated implementations of key ideas from modern deep learning research.

bamboolib - a GUI for pandas DataFrames

Simple, efficient, open-source package for Simultaneous Localization and Mapping

Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/

Laughs at your expense

Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. ⚡

Udacity's Self-Driving Car Nanodegree project files and notes.

Stock Indicators for Python. Maintained by @LeeDongGeon1996

DAANet: Dual Ask-Answer Network for Machine Reading Comprehension

Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent Speech