A comprehensive guide to building RAG-based LLM applications for production.
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A comprehensive guide to building RAG-based LLM applications for production.
A curated list of awesome embedding models tutorials, projects and communities.
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)
SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.
For extensive instructor led learning
Samples using the Agent2Agent (A2A) Protocol
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Awesome-pytorch-list 翻译工作进行中......
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
Vision utilities for web interaction agents 👀
A Modular Framework for 3D Gaussian Splatting and Beyond
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
Notebooks for "Python for Signal Processing" book
A hackable AI home assistant platform
Notebooks covering mathematical analysis of ZKP building blocks, algorithm implementations of various proof systems, and protocol optimization techniques.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
comparing stand up comedians using natural language processing
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
🙄 Difficult algorithm, Simple code.