state-spaces / s4
Structured state space sequence models
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Structured state space sequence models
Examples and recipes for Llama 2 model
🔊 Text-Prompted Generative Audio Model
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
PyTorch code and models for the DINOv2 self-supervised learning method.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
�?LEIA A ISSUE FIXADA! Repositório do lab Contribuindo em um Projeto Open Source no GitHub da Digital Innovation One.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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.
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
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.
Foundational Models for State-of-the-Art Speech and Text Translation
A repository of code samples for Vector search capabilities in Azure AI Search.