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hands-on-data-analysis-with-pandas

Materials for following along with Hands-On Data Analysis with Pandas.

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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.

imageclassification

Jupyter notebook showing how to build an image classifier with Python and Tensorflow

introstatlearning

Solutions to exercises from the book "Introduction to Statistical Learning"

keras

Deep Learning for humans

landmark-recognition-2019

Final project of Learning AI 2019

learningpyspark

Code base for the Learning PySpark book (in preparation)

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

mesonet

"MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018

mnist-digit.recognizer-cnns

Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

motivational_books

Motivational Books pdf

neural-netork-from-scratch-in-python

This is a neural network in python built using only numpy and similar basic libraries.

neural-network-papers

nyu-dlsp21

NYU Deep Learning Spring 2021

onednn

oneAPI Deep Neural Network Library (oneDNN)

prml-solution-manual

My Own Solution Manual of PRML

prml_errata

More PRML Errata

python-mnist

Simple MNIST data parser written in Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-deep-learning

Deep Learning (with PyTorch)

pyvenn

2 ~ 6 sets venn diagram for python

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tidy-islr

tidy-islr-1

Tidyverse implementation of An Introduction to Statistical Learning with Applications in R

top-10-machine-learning-methods-with-r

Includes top ten must know machine learning methods with R.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.