ML Specialist to Improve my AutoDecoder
Budget: $30 – $250 USD
**Task Description:**
[The code is about 300 lines in Python, and I can run it on a GPU for testing. The implementation is mostly complete, but there are a few bugs that need to be resolved.]
I am looking for someone to assist with a project focused on generative models, specifically involving Variational Auto-Encoders (VAE) and Auto-Decoders. The task includes training an Auto Decoder on the Fashion MNIST dataset, minimizing the reconstruction loss, and analyzing the latent space. You will need to justify model architecture and training parameter choices, evaluate the model on both training and test sets, and generate visual results by decoding latent vectors.
Skills required:
- Deep understanding of Auto-Encoders and Variational Auto-Encoders (VAE)
- Experience with generative models and latent space exploration
- Proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow)
[The code is about 300 lines in Python, and I can run it on a GPU for testing. The implementation is mostly complete, but there are a few bugs that need to be resolved.]
I am looking for someone to assist with a project focused on generative models, specifically involving Variational Auto-Encoders (VAE) and Auto-Decoders. The task includes training an Auto Decoder on the Fashion MNIST dataset, minimizing the reconstruction loss, and analyzing the latent space. You will need to justify model architecture and training parameter choices, evaluate the model on both training and test sets, and generate visual results by decoding latent vectors.
Skills required:
- Deep understanding of Auto-Encoders and Variational Auto-Encoders (VAE)
- Experience with generative models and latent space exploration
- Proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow)