Alibaba’s Tora: A Trajectory-Controlled DiT Video Generation Model

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Follow our official account to discover the beauty of CV technology This paper shares Tora: Trajectory-oriented Diffusion Transformer for Video Generation, where Alibaba proposes the trajectory-controlled DiT video generation model Tora. Paper link: https://arxiv.org/abs/2407.21705 Project link: https://ali-videoai.github.io/tora_video/ Background Video generation models have recently made significant progress. For example, OpenAI’s Sora and domestic models like Vidu … Read more

How Ordinary People Can Use DeepSeek Effectively

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How Ordinary People Can Use DeepSeek Effectively

Recently Domestic AI DeepSeek has gained widespread attention in the tech circles of China and the United States and is also referred to as “The Mysterious Eastern Power” DeepSeek has surpassedChatGPT and topped the free app chart in the US App Store. Its usage has skyrocketed,making it the fastest application to break 30 million daily … Read more

How to Generate Stable Comic Characters with Midjourney Commands

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How to Generate Stable Comic Characters with Midjourney Commands

This article is authorized to be reprinted from: NetEase UEDC (ID: NetEase_UEDC) Introduction— Many students find that Midjourney has a strong element of randomness when learning to use its commands. Even with the same input command, the output results can vary each time. For example, using the same command yields results as shown in Figure … Read more

Understanding Stable Diffusion Principles in Simple Terms

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Understanding Stable Diffusion Principles in Simple Terms

Source: AI Algorithms and Image Processing This article is about 4300 words, recommended reading time is 8 minutes. A detailed interpretation of the stable diffusion paper, after reading this, you will never find it hard to understand! 1. Introduction (Can Be Skipped) Hello, everyone, I am Tian-Feng. Today I will introduce some principles of stable … Read more

17 Ways to Speed Up PyTorch Training

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17 Ways to Speed Up PyTorch Training

Reproduced from: Machine Heart Master these 17 methods to accelerate your PyTorch deep learning training in the most effortless way. Recently, a post on Reddit gained massive popularity. The topic is about how to speed up PyTorch training. The original author is LORENZ KUHN, a master’s student in computer science at ETH Zurich. The article … Read more

How to Achieve High-Performance PyTorch: 10 Pitfalls to Avoid

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How to Achieve High-Performance PyTorch: 10 Pitfalls to Avoid

Click on the above “Beginner’s Guide to Vision”, choose to add “Star” or “Top” Essential insights delivered promptly IntroductionWhat does a high-performance PyTorch training pipeline look like? Is it about achieving the highest accuracy model? The fastest runtime? Easy to understand and extend? Or easily parallelized? The answer is, it includes all of the above. … Read more

Guide to Hyperparameter Tuning for Neural Networks

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Guide to Hyperparameter Tuning for Neural Networks

Click on the above “Beginner’s Guide to Vision” to select Star or Top for heavy content delivered first Author: Xi XiaoyaoFrom: Xi Xiaoyao’s Cute Selling HouseForeword Although tuning parameters alone is no longer a hot topic in deep learning, if you can’t even tune parameters, you might not even get a taste of the soup. … Read more

Neuro-Symbolic Learning: Neural Networks and Logical Reasoning

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Neuro-Symbolic Learning: Neural Networks and Logical Reasoning

Approximately 3000 words, suggested reading time is 6 minutes. This article proposes a deep learning framework called DeepLogic, designed to solve problems that involve both logical reasoning and neural perception tasks. 1 Introduction Neuro-symbolic learning aims to combine the perceptual capabilities of deep neural networks (DNNs) with the reasoning capabilities of symbolic reasoning systems. The … Read more

Implementing Neural Networks from Scratch in Python

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Implementing Neural Networks from Scratch in Python

Click the "Learn Visuals" above, select to add "Star" or "Top" Heavy content delivered in real-time There is something that might surprise beginners: Neural network models are not complex! The term ‘neural network’ sounds sophisticated, but in reality, neural network algorithms are simpler than people think. This article is entirely prepared for beginners. We will … Read more

Practical Experiences and Tips for Building Neural Networks

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Practical Experiences and Tips for Building Neural Networks

Click on the above “Xiaobai Learns Vision“, select “Star” or “Pin“ Important content delivered immediately Authors: Matt H and Daniel R Compiled by: ronghuaiyang Introduction Experience and lessons accumulated from thousands of hours of model training. In our machine learning lab, we have accumulated thousands of hours of training on many high-performance machines. However, it … Read more