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AI Projects Powered by KodelythAI v1

DeepVision

Computer vision library for object detection and image recognition using deep learning.
Python 1.2k MIT License

NLP.js

Natural Language Processing toolkit for JavaScript with sentiment analysis and entity recognition.
JavaScript 890 Apache 2.0

EcoRoute

Mobile app for eco-friendly route planning using AI to minimize carbon footprint.
React Native 745 GPL-3.0

DeepVision Repository

Computer vision library for object detection and image recognition

model.py
dataset.py
train.ipynb
requirements.txt
model.py
import torch
import torch.nn as nn
import torchvision.models as models

class DeepVisionModel(nn.Module):
    def __init__(self, num_classes=10):
        super(DeepVisionModel, self).__init__()
        self.base_model = models.resnet50(pretrained=True)
        num_features = self.base_model.fc.in_features
        self.base_model.fc = nn.Linear(num_features, num_classes)
        
    def forward(self, x):
        return self.base_model(x)
    
    def predict(self, image):
        # Preprocess image
        # Run inference
        # Return prediction
        pass

if __name__ == "__main__":
    model = DeepVisionModel()
    print("Model initialized successfully")

Kodelyth AI Assistant

Powered by KodelythAI v1 - Get help with your code, debugging, and project setup

Hello! I'm your AI assistant powered by KodelythAI v1. How can I help with your project today?

Can you help me optimize my DeepVision model?

Sure! Here are some suggestions for optimizing your computer vision model:

1. Consider using quantization to reduce model size
2. Implement mixed precision training
3. Use a lighter backbone like MobileNetV3
4. Apply pruning techniques to remove unnecessary weights