mlabonne / llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course Files for Complete Python 3 Bootcamp Course on Udemy
Sample code and notebooks for Generative AI on Google Cloud
Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
Bark Voice Cloning and Voice Cloning for Chinese Speech
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Free Data Engineering course!
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
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.
A game theoretic approach to explain the output of any machine learning model.
High-Resolution Image Synthesis with Latent Diffusion Models
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Segment Anything in Medical Images
A Bulletproof Way to Generate Structured JSON from Language Models
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Keras documentation, hosted live at keras.io
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Kubernetes community content