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Stable Video Diffusion: Latent Video Diffusion Models to Large Datasets
Artificial Intelligence

Stable Video Diffusion: Latent Video Diffusion Models to Large Datasets

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Text Classification Challenge with Extra-Small Datasets: Positive-Tuning Versus ChatGPT The dataset Regular fine-tuning with RoBERTa Few-shot with ChatGPT Positive-tuning a GPT-3 model Conclusion Sources
Artificial Intelligence

Text Classification Challenge with Extra-Small Datasets: Positive-Tuning Versus ChatGPT The dataset Regular fine-tuning with RoBERTa Few-shot with ChatGPT Positive-tuning a GPT-3 model Conclusion Sources

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Let’s attempt to locate UAV with change detection datasets and FaceNet Change detection datasets Model and concept Data augmentation The experiment Conclusions
Artificial Intelligence

Let’s attempt to locate UAV with change detection datasets and FaceNet Change detection datasets Model and concept Data augmentation The experiment Conclusions

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5 Ways to Get Interesting Datasets for Your Next Data Project (Not Kaggle)
Artificial Intelligence

5 Ways to Get Interesting Datasets for Your Next Data Project (Not Kaggle)

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How I Turned ChatGPT into an SQL-Like Translator for Image and Video Datasets
Artificial Intelligence

How I Turned ChatGPT into an SQL-Like Translator for Image and Video Datasets

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How YOLO-NAS is Leaving YOLOv8 within the Dust — And Why You Must Know About It! The Advanced Training Scheme: Like an ’80s Training Montage on Steroids Post-Training Quantization (PTQ): The Secret Sauce for Efficiency AutoNac Optimized: When Architectural Perfection Meets Mad Science Pre-Trained on Top Datasets: The Triple Threat of Object Detection Small Object Detection and Real-Time Edge-Device Applications: It’s the Swiss Army Knife of Models The Proof is within the Numbers: YOLO-NAS, the Usain Bolt of Object Detection Get Began with YOLO-NAS: The Way forward for Object Detection Awaits How one can Start Coding your individual YOLO-NAS Apps?
Artificial Intelligence

How YOLO-NAS is Leaving YOLOv8 within the Dust — And Why You Must Know About It! The Advanced Training Scheme: Like an ’80s Training Montage on Steroids Post-Training Quantization (PTQ): The Secret Sauce for Efficiency AutoNac Optimized: When Architectural Perfection Meets Mad Science Pre-Trained on Top Datasets: The Triple Threat of Object Detection Small Object Detection and Real-Time Edge-Device Applications: It’s the Swiss Army Knife of Models The Proof is within the Numbers: YOLO-NAS, the Usain Bolt of Object Detection Get Began with YOLO-NAS: The Way forward for Object Detection Awaits How one can Start Coding your individual YOLO-NAS Apps?

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Expanded to 66 datasets provided by the AI ​​Business Group
Artificial Intelligence

Expanded to 66 datasets provided by the AI ​​Business Group

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Challenges of huge open-source datasets for constructing detection in Africa Intermezzo: constructing footprint vs rooftop Comparison Discussion Conclusion References
Artificial Intelligence

Challenges of huge open-source datasets for constructing detection in Africa Intermezzo: constructing footprint vs rooftop Comparison Discussion Conclusion References

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Introduction to PyTorch: from training loop to prediction Install PyTorch and other dependencies Import and explore the dataset Create the datasets and dataloaders classes Training, validation and test datasets Data normalization Neural network implementation in PyTorch Utility functions for plotting and accuracy calculation Model training Neural network performance evaluation Create predictions Conclusions Really useful Reads Useful Links (written by me)
Artificial Intelligence

Introduction to PyTorch: from training loop to prediction Install PyTorch and other dependencies Import and explore the dataset Create the datasets and dataloaders classes Training, validation and test datasets Data normalization Neural network implementation in PyTorch Utility functions for plotting and accuracy calculation Model training Neural network performance evaluation Create predictions Conclusions Really useful Reads Useful Links (written by me)

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Outlier Detection Using Distribution Fitting in Univariate Datasets
Artificial Intelligence

Outlier Detection Using Distribution Fitting in Univariate Datasets

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