🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
100 Days of ML Coding
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Best Practices on Recommendation Systems
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
A neural network that transforms a design mock-up into a static website.
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
TranslatedMachine learning tutorials
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
TensorFlow tutorials and best practices.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
:earth_americas: machine learning tutorials (mainly in Python3)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Quantitative analysis, strategies and backtests
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Instructional notebooks on music information retrieval.
A series of machine learning tutorials for Torch7
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.