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Automated filtering with machine learning models are an important part of trust and safety on social networks.
Techniques like [naive bayesian filtering](https://en.wikipedia.org/wiki/Naive_Bayes_s…
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### **1. Quantum-Like Enhancements**
#### **a. Unitary Gate Operations**
- Implement additional quantum gates such as:
- **Pauli Gates (X, Y, Z)**: For flipping states or introducing phase sh…
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ONNX has evolved into much more than just a specification for exchanging models. Here's a breakdown of why:
ONNX Runtime: A highly optimized inference engine that executes ONNX models. This activel…
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## **Title** :
Sugarcane Leaf Disease Detection
## **Aim** :
- This project focuses on classifying sugarcane leaf diseases using different machine learning models. The dataset contains images of …
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The primary objective of this project is to develop a robust book recommendation system that suggests titles to users based on their preferences, ratings, and reviews. Effective recommendation systems…
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Dear all,
I hope this finds you well.
My name is Felix Hoare, I am a final year Computer Science and Artificial Intelligence student at the University of Edinburgh, and for my final year dissertatio…
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**Описание**
- Моделирование многомерных процессов стохастической волатильности для портфелей финансовых инструментов
- Фокус на новейших исследованиях по адаптивному обучению, AutoML, стохастическим…
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**Is your feature request related to a problem? Please describe.**
yes, classifying the raisin types based on input parameters like horizontal length, vertical length, eccentricity, area, perimeter ,…
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## 🐞Describing the bug
When the input shape is fixed, the model can be successfully converted to coreml, but when the input is a flexible shape, the following errors will occur:
```
ValueError: C…