Python Code Development from Research Paper
I'm seeking a skilled Python developer and deep learning expert to translate a research paper into code. The paper employs a Generative Adversarial Network (GAN) and focuses on time series data. Key tasks include: - Complete coding replicating the deep learning model from the paper - Creating the necessary time series dataset - Producing all results as in the paper The code should generate: - Accuracy and loss over epochs - Generated time series samples - All other metrics or results mentioned in the paper Ideal candidates will have: - Extensive experience with Python and deep learning - Previous experience coding from research papers - Ability to deliver precise and complete code. Please ensure your bid includes examples of similar projects you've completed.
Keyword: Machine Learning
Delivery Time: 2 days left days
Price: $15.0
Deep Learning Deep Neural Network Machine Learning (ML) Python Software Architecture
Encrypted Network Traffic Anomaly Detection
I need the following work done: • Network Traffic Anomaly Detection: Modify the existing code to handle encrypted network traffic, specifically by focusing on analyzing traffic metadata. The goal is to detect malicious traffic even when the payload is encrypted (e...
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