A curated list of Federated Learning papers/articles and recent advancements.

awesome-SAM-Medical-Images

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

A curated list of foundation models for vision and language tasks in medical imaging

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

SOTA medical image segmentation methods based on various challenges

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

A curated list of awesome knowledge-driven autonomous driving (continually updated)

Educational materials on deep learning by Weights & Biases

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

😎 A curated list of awesome MLOps tools

A curated list of awesome responsible machine learning resources.

A collection of Google research projects related to Federated Learning and Federated Analytics.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

An awesome & curated list of best LLMOps tools for developers

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

✨✨Latest Advances on Multimodal Large Language Models

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Practical course about Large Language Models.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

A curated list of foundation models for vision and language tasks