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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Course to get into Large Language Models (LLMs) with roadmaps and Colab 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
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.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
A guidance language for controlling large language models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Your new Mentor for Data Science E-Learning.
Neural Networks: Zero to Hero
High-Resolution Image Synthesis with Latent Diffusion Models
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Foundational Models for State-of-the-Art Speech and Text Translation
FinRL: Financial Reinforcement Learning. 🔥
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Official inference library for Mistral models
TensorFlow Tutorials with YouTube Videos
Automatic extraction of relevant features from time series:
Python training for business analysts and traders
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)