Welcome to the world of AI-generated art! This blog will walk you through the fascinating functionalities of the Stable Diffusion Cheat-Sheet, which serves as a nifty personal reference for artists and enthusiasts alike. Whether you want to explore various artistic...
Your Guide to Setting Up the CARLA RL Project
If you're venturing into the world of Reinforcement Learning (RL) and have chosen the CARLA simulator, you’re in for an exhilarating ride. This guide will walk you through the installation and setup processes, as well as running the CARLA server and client. Let's get...
How to Set Up Notifications for Your Training Process Using Knock Knock
In the world of deep learning, understanding when your model training is completed or if it crashes mid-process is crucial. Enter Knock Knock, a small yet powerful library that lets you automate notifications for your training sessions. In this guide, we'll walk you...
AGI-Papers
A LLM · NLP Text2All · All2All Multi-modal · Multi-task Let’s find out the latest and various LLM-related papers. New Papers MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts MoVA: Adapting Mixture of Vision Experts to Multimodal Context...
How to Get Started with Lazy Predict
If you are looking for a quick and effortless way to evaluate multiple machine learning models without diving deep into the complexities of parameter tuning, Lazy Predict is your solution! This handy tool provides an easy-to-use interface that allows even those new to...
Understanding and Using inspectdf: A Guide
Welcome to our comprehensive guide on the inspectdf package in R. Designed for data enthusiasts and developers alike, this collection of utilities provides column-wise summaries, comparison, and visualization of data frames, making your data analysis tasks more...
How to Implement Federated Learning with PyTorch
In the age of decentralized data, Federated Learning provides a path to train models effectively without the need to share raw data. It draws inspiration from the paper Communication-Efficient Learning of Deep Networks from Decentralized Data. By the end of this...
How to Implement Online Continual Learning
Online Continual Learning is an innovative approach in artificial intelligence that allows models to learn iteratively from incoming data streams without losing previous knowledge. In this guide, we’ll walk through setting up a project that uses Online...
ISAT with Segment Anything
An Interactive Semi-Automatic Annotation Tool Based on Segment Anything 中文 [English] Our tool enables interactive use of segment anything for rapid image segmentation with low RAM requirements (optional bf16 mode). Demo Video: YouTube Features and Installation Please...