priyatham/compara-deep-learning
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@ -4,7 +4,7 @@ The aim of this project is to use **Deep Neural-Nets** to predict homology type
This file provides the instructions to replicate the results of this project from scratch. This file provides the instructions to replicate the results of this project from scratch.
## Requirements: ## Requirements:
1. A machine with atleast **8GB of RAM** (although **16-32GB** is recommended. It depends on the no. of homology databases that you are willing to use in the preparation of the dataset), a graphic card for training the deep neural nets. A single GPU machine would suffice. The model can be trained on CPU as well but will be a lot faster if trained on a GPU. 1. A machine with atleast **8GB of RAM** (although **16-32GB** is recommended. It depends on the no. of homology databases that you are willing to use in the preparation of the dataset), a graphic card for training the deep neural nets. A single GPU machine would suffice. The model can be trained on CPU as well but the training process will be lot faster if trained on a GPU.
2. A stable Internet Connection. 2. A stable Internet Connection.
3. A native/virtual python environment. Install the dependencies from `requirements.txt` using : 3. A native/virtual python environment. Install the dependencies from `requirements.txt` using :
`pip install -r requirements.txt` `pip install -r requirements.txt`