Learn make by example

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Basic concepts which are used in NLP such as : Language model, Neural Language model, Word embedding, Text classification, Bert, RNN, LSTM, GRU, Attention, Transformers.

Fundamental of deep learning : Neural networks, Hyper parameters, Structuring ML projects, Convolution neural networks, Sequence models.

This repository consists of machine learning algorithm such as : Regression, Classification, Neural network, SVM, PCA, Clustering, Anomaly detection.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…

Fundamental of AI course which focuses on search, multiagents, mdp and reinforcement learning algorithms.

Implemented classification of CIFAR-10 using neural networks, Heart disease recognition using Fuzzy systems and Snail Jumper game using evolution algorithm.

Convert Machine Learning Code Between Frameworks

📚 A public list of APIs from round the web.

Not the usual clone that you can find on the web.

Latex code for making neural networks diagrams

⚡️ A minimal portfolio template for Developers

Python Implementation of Reinforcement Learning: An Introduction

100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.

some useful commands, repositories, and tools for ubuntu setup when installing a new one