Adaptive Bitrate Algorithm Development & Deployment
Budget: $15 – $25 USD
I'm seeking an expert to assist me with two crucial tasks related to the Pensieve platform. Firstly, to help me deploy Pensieve on an Ubuntu operating system. Secondly, to develop an innovative adaptive bitrate algorithm with a focus on comparison to Pensieve.
The Project Tasks:
- Deployment of Pensieve on Ubuntu: Your first task would be to ensure the successful deployment of Pensieve on an Ubuntu platform.
- Algorithm Development: Following successful deployment, you will be instrumental in the development of an adaptive bitrate algorithm. This algorithm needs to be designed, keeping in mind a comparison with Pensieve.
Key Pensieve Features:
The key aspects of Pensieve that will be immensely relevant to our project are:
- The Neural Network Model
- The Bitrate Adaptation Type
- The Reinforcement Learning Aspect
Platform Implementation:
Upon completion, the adaptive bitrate algorithm will be implemented primarily on the following platforms:
- Web Browsers
- Streaming Media Servers
Ideal Candidate:
You are an experienced Linux, Python professional with a strong background in neural network models, bitrate adaptation, and reinforcement learning. Your expertise in working with Pensieve or similar platforms will be highly valued.
The Project Tasks:
- Deployment of Pensieve on Ubuntu: Your first task would be to ensure the successful deployment of Pensieve on an Ubuntu platform.
- Algorithm Development: Following successful deployment, you will be instrumental in the development of an adaptive bitrate algorithm. This algorithm needs to be designed, keeping in mind a comparison with Pensieve.
Key Pensieve Features:
The key aspects of Pensieve that will be immensely relevant to our project are:
- The Neural Network Model
- The Bitrate Adaptation Type
- The Reinforcement Learning Aspect
Platform Implementation:
Upon completion, the adaptive bitrate algorithm will be implemented primarily on the following platforms:
- Web Browsers
- Streaming Media Servers
Ideal Candidate:
You are an experienced Linux, Python professional with a strong background in neural network models, bitrate adaptation, and reinforcement learning. Your expertise in working with Pensieve or similar platforms will be highly valued.
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