Clearml-agent

Features and Bug Fixes

* Pre-install `numpy` if it exists in the requirements
* Add experiment archiving example
* Add `.bashrc` reloading before running trains-agent in the AWS dynamic cluster management service
* Add support for pulling recursive git modules as as well as main project
* Limit `virtualenv` version to `<20` due to an import issue in v20.0.0
* Fix `pip` install/upgrade with limit in `conda`
* Fix daemon monitor to not stop experiments if network is down

Features
- Add poetry support
- Add `agent.docker_force_pull` config option to force docker pull before running an experiment using a docker image
- Add `agent.extra_docker_arguments` and `agent.extra_docker_shell_script` config options for extra docker parameters and shell script which will always be used when running an experiment using a docker image
- Add `agent.package_manager.pip_version` config option to limit pip version used in virtual env. By default, this value is set to `<20` due to a pip version instability
- Add support for pip "editable" packages syntax in experiment requirements (e.g. `-e git://github.com/my-repo`, see [here](https://pip.readthedocs.io/en/1.1/requirements.html#requirements-file-format))
- Add support for git repositories without ".git" suffix (e.g. [Azure Repos](https://azure.microsoft.com/en-us/services/devops/repos))
- Improve conda support
- Fix cases where virtualenv was installed but unavailable as a shell command
- Fix logging monitor to make sure logs are sent even in case an exception occurs inside the monitor itself

Features
- Add support for docker pre-installed pytorch versions that do not exist on PyPI/PyTorch.org
- Add AWS dynamic cluster management service
- Add support for various event query endpoints in APIClient
- Improve the configuration wizard

Features and Bug Fixes
- Improve configuration wizard
- Improve docker and k8s support
- Add docker build command
- Add initial Poetry support
- Fix docker CUDA support

Features and Bug Fixes
* Windows support! YES, you can now have Windows machines as part of your cluster (notice --docker is not supported on Windows)
* Add initial Conda package manager support (still in beta)
* Add --gpus and --cpu-only for easier GPU control when running multiple `trains-agent` instances on the same machine
* Add [python_binary](https://github.com/allegroai/trains-agent/blob/master/docs/trains.conf#L35) can now be specified (the default is the same python binary executing the `trains-agent`)
* Fix Issue 2

TRAINS Agent - Initial Release

* TRAINS Agent currently supports Linux & Mac
* Python packaging system supported: pip
* Containers supported: Docker v19.03 and above
* Version Control supporedt: git
* Support for standalone scripts & Jupyter Notebooks
* TRAINS-server v0.12 and above
* TRAINS v0.11.3 and above
* Sample configuration file available [here](https://github.com/allegroai/trains-agent/blob/master/docs/trains.conf)