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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python Data Science Handbook: full text in Jupyter Notebooks
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
100-Days-Of-ML-Code中文版
📡 Simple and ready-to-use tutorials for TensorFlow
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Image restoration with neural networks but without learning.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
A scikit-learn compatible neural network library that wraps PyTorch
Notebooks for learning deep learning
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Open-source demos hosted on Dash Gallery
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Materials for my scikit-learn tutorial
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Contains files related to content and project of DSND Term 2
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearn…
A list of 99 machine learning projects for anyone interested to learn from coding and building projects