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The OCR system needs to learn from success stories.
An idea is to write to an SQLite database created by the OCR system.
This system will add only the license plate slice to the database.
Will…
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### Description & Motivation
When training a model, I have to specify dataloaders, epochs, learning rate and I would like them to be logged by default (like huggingface).
(Could be a DeviceStatMo…
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**Is your feature request related to a problem? Please describe.**
The Quantum Circuit Probability Predictor is a machine learning-based application designed to predict the probability of measuring a…
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Create the machine learning models based on Random Forest, Gradient Boosting, and Histogram-Based Gradient Boosting.
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Pneumonia Detection with Deep Learning
This project aims to build a deep learning model for the detection of pneumonia in chest X-ray images. The model is implemented using TensorFlow and Keras, …
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Hello, when I use FABind_PG and perform 'Evaluation', there is a problem using model.safetensors in the loaded model. Which model is this? Is there a more accurate version for learning?
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```
docs/
├── README.md # Overview of the documentation structure
├── getting-started/
│ ├── introduction.md # Introduction to AIBuddies and AI
│ …
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SentenceVAE/
│
├── encoder.py
│ ```python
│ import torch
│ from torch import nn
│
│ class SentenceEncoder(nn.Module):
│ '''Sentence Encoder with byte-level BPE tokenization, lear…
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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 …