🦜🔗 Build context-aware reasoning applications

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.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

🔊 Text-Prompted Generative Audio Model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Instruct-tune LLaMA on consumer hardware

Data and code behind the articles and graphics at FiveThirtyEight

StableLM: Stability AI Language Models

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

This repository contains the source code for the paper First Order Motion Model for Image Animation

Natural Language Processing Tutorial for Deep Learning Researchers

The "Python Machine Learning (1st edition)" book code repository and info resource

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

LAVIS - A One-stop Library for Language-Vision Intelligence

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

Build your neural network easy and fast, 莫烦Python中文教学

TensorFlow examples

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Using Low-rank adaptation to quickly fine-tune diffusion models.

Overview and tutorial of the LangChain Library

Inpaint anything using Segment Anything and inpainting models.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。