adisaljusi
Follow
Lists (1)
Starred repositories
79
stars
written in Jupyter Notebook
Clear filter
A latent text-to-image diffusion model
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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.
Free Data Engineering course!
A game theoretic approach to explain the output of any machine learning model.
Instruct-tune LLaMA on consumer hardware
StableLM: Stability AI Language Models
stable diffusion webui colab
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Code for Machine Learning for Algorithmic Trading, 2nd edition.
High-Resolution Image Synthesis with Latent Diffusion Models
Neural Networks: Zero to Hero
llama3 implementation one matrix multiplication at a time
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
LAVIS - A One-stop Library for Language-Vision Intelligence
Official inference library for Mistral models
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
An open source implementation of CLIP.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This repository contains demos I made with the Transformers library by HuggingFace.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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.
Overview and tutorial of the LangChain Library
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Understanding Deep Learning - Simon J.D. Prince
A Bulletproof Way to Generate Structured JSON from Language Models
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
