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A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
Learn how to develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
🔊 Text-Prompted Generative Audio Model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Course Files for Complete Python 3 Bootcamp Course on Udemy
A game theoretic approach to explain the output of any machine learning model.
100-Days-Of-ML-Code中文版
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Instruct-tune LLaMA on consumer hardware
This repository contains demos I made with the Transformers library by HuggingFace.
Official inference library for Mistral models
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Build your neural network easy and fast, 莫烦Python中文教学
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Collection of notebooks about quantitative finance, with interactive python code.
Taming Transformers for High-Resolution Image Synthesis
Tutorials and programming exercises for learning Q# and quantum computing
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Microsoft Quantum Development Kit Samples
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Kandinsky 2 — multilingual text2image latent diffusion model
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Developer APIs to Accelerate LLM Projects
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering