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learn_cs_param

Installation with docker

TODO

Manual installation

Warning: TensorFlow does not support Windows yet.

  1. Install Python 3.x * Linux: Use your package manager to install Python 3.5 (or newer) * Mac: Either via the Homebrew package manager using brew install python3 or via Anaconda * Windows: Use Anaconda

  2. Clone the repository * ssh:

```bash
git clone [email protected]:dperdios/learn_cs_param.git
cd learn_cs_param
```

* https:

```bash
git clone https://github.com/dperdios/learn_cs_param.git
cd learn_cs_param
```
  1. (optional) Create a dedicated environment. The code have been developed on Python 3.5 * Using Anaconda:
```bash
conda create -n learn_cs_param python=3.5
```

* Using `pyenv`:

```bash
pyvenv /path/to/new/virtual/env . /path/to/new/virtual/env/bin/activate
```
  1. Install the dependencies from requirements.txt. Please edit the TensorFlow version (CPU/GPU, Linux/OSX) you want to install. The code has been developed with TensorFlow 0.11. * Depending on your installation, pip may refer to Python 2 (you can verify with pip -V). In that case, use pip3 instead of pip.
pip install --upgrapde pip
pip install -r requirements.txt
  1. TODO Check you have a working installation

  2. Launch Jupyter notebook.

jupyter notebook

License

TODO