{ "info": { "author": "David Mascharka", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering" ], "description": "\nMyNN is a simple NumPy-centric neural network library that builds on top of MyGrad. It provides\nconvenient wrappers for such functionality as\n\n- Convenient neural network layers (e.g. convolutional, dense, batch normalization, dropout)\n- Weight initialization functions (e.g. Glorot, He, uniform, normal)\n- Neural network activation functions (e.g. elu, glu, tanh, sigmoid)\n- Common loss functions (e.g. cross-entropy, KL-divergence, Huber loss)\n- Optimization algorithms (e.g. sgd, adadelta, adam, rmsprop)\n\nMyNN comes complete with several examples to ramp you up to being a fluent user of the library.\nIt was written as an extension to MyGrad for rapid prototyping of neural networks with minimal dependencies,\na clean codebase with excellent documentation, and as a learning tool.\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/davidmascharka/MyNN", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "mynn", "package_url": "https://pypi.org/project/mynn/", "platform": "", "project_url": "https://pypi.org/project/mynn/", "project_urls": { "Homepage": "https://github.com/davidmascharka/MyNN" }, "release_url": "https://pypi.org/project/mynn/0.9.0/", "requires_dist": [ "numpy (>=1.13)", "numba (>=0.38)", "mygrad (>=1.0)" ], "requires_python": ">=3.6", "summary": "A pure-Python neural network library", "version": "0.9.0" }, "last_serial": 5569977, "releases": { "0.9.0": [ { "comment_text": "", "digests": { "md5": "033e6170acafb39b22637f4eac0440b8", "sha256": "39038b192f87c7438cb5adaa868c6d836ab2d36ff1d4d1e0e2f575a68e9115fb" }, "downloads": -1, "filename": "mynn-0.9.0-py3-none-any.whl", "has_sig": false, "md5_digest": "033e6170acafb39b22637f4eac0440b8", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.6", "size": 32234, "upload_time": "2019-07-23T01:49:17", "url": "https://files.pythonhosted.org/packages/3d/5a/95ea204bedeab8b3460120e5b1cc856adef0c3ecc30fc579ecd6355cae51/mynn-0.9.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "8e6d7d0ae95a8b053ce59096381b3f39", "sha256": "9f6f16a80a873eb7f803fb90737c136470b7d3a82c5f3367c176cc9845f9fe07" }, "downloads": -1, "filename": "mynn-0.9.0.tar.gz", "has_sig": false, "md5_digest": "8e6d7d0ae95a8b053ce59096381b3f39", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6", "size": 31293, "upload_time": "2019-07-23T01:49:20", "url": "https://files.pythonhosted.org/packages/cf/68/b1ebbebe2cf0145ab6326f8f61a25d7d280e8ff0adfcc5656832cd32d617/mynn-0.9.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "033e6170acafb39b22637f4eac0440b8", "sha256": "39038b192f87c7438cb5adaa868c6d836ab2d36ff1d4d1e0e2f575a68e9115fb" }, "downloads": -1, "filename": "mynn-0.9.0-py3-none-any.whl", "has_sig": false, "md5_digest": "033e6170acafb39b22637f4eac0440b8", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.6", "size": 32234, "upload_time": "2019-07-23T01:49:17", "url": "https://files.pythonhosted.org/packages/3d/5a/95ea204bedeab8b3460120e5b1cc856adef0c3ecc30fc579ecd6355cae51/mynn-0.9.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "8e6d7d0ae95a8b053ce59096381b3f39", "sha256": "9f6f16a80a873eb7f803fb90737c136470b7d3a82c5f3367c176cc9845f9fe07" }, "downloads": -1, "filename": "mynn-0.9.0.tar.gz", "has_sig": false, "md5_digest": "8e6d7d0ae95a8b053ce59096381b3f39", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6", "size": 31293, "upload_time": "2019-07-23T01:49:20", "url": "https://files.pythonhosted.org/packages/cf/68/b1ebbebe2cf0145ab6326f8f61a25d7d280e8ff0adfcc5656832cd32d617/mynn-0.9.0.tar.gz" } ] }