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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
21 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.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🔊 Text-Prompted Generative Audio Model
12 Weeks, 24 Lessons, AI for All!
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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Free Data Engineering course!
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
📡 Simple and ready-to-use tutorials for TensorFlow
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
StableLM: Stability AI Language Models
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
llama3 implementation one matrix multiplication at a time
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A multi-voice TTS system trained with an emphasis on quality
This repository contains implementations and illustrative code to accompany DeepMind publications
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Neural Networks: Zero to Hero
PRML algorithms implemented in Python
Free MLOps course from DataTalks.Club
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.