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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
Google Research
⛔️ 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
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 …
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Image restoration with neural networks but without learning.
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
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
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…