ds-books-complete-solutions-materials Goto Github PK

adsp_tutorials

Advanced Digital Signal Processing Notebooks and Tutorials

anlp19

Course repo for Applied Natural Language Processing (Spring 2019)

coursera-hse-introduction-to-machine-learning

coursera

deep-learning-with-tensorflow-and-keras-3rd-edition

Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt

deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

dl-imperial-maths

Code and assignment repository for the Imperial College Mathematics department Deep Learning course

generative-adversarial-networks-projects

Generative Adversarial Networks Projects, published by Packt

graph-machine-learning

Graph Machine Learning, published by Packt

hands-on-machine-learning-using-amazon-sagemaker-v-

Hands-On Machine Learning Using Amazon SageMaker [video], published by Packt

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.

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.

machine-learning

Content for Udacity's Machine Learning curriculum

mastering-azure-machine-learning-second-edition

Mastering Azure Machine Learning - Second Edition, published by Packt

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

organizer

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

spark-programming-in-python-for-beginners-with-apache-spark-3

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022