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false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": "https://pybind11.readthedocs.io/", "home": "https://github.com/pybind/pybind11/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD-3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://github.com/pybind/pybind11/archive/v2.9.0.tar.gz", "subdirs": [ "linux-ppc64le" ], "summary": "Seamless operability between C++11 and Python", "tags": null, "text_prefix": true, "timestamp": 1655866366, "version": "2.9.0" }, "pybind11-abi": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": "https://pybind11.readthedocs.io/", "home": "https://github.com/pybind/pybind11/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD-3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": { "4": { "weak": [ "pybind11-abi ==4" ] } }, "source_git_url": null, "source_url": "https://github.com/pybind/pybind11/archive/v2.9.0.tar.gz", "subdirs": [ "noarch" ], "summary": "Seamless operability between C++11 and Python", "tags": null, "text_prefix": false, "timestamp": 1655864324, "version": "4" }, "pybind11-global": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": "https://pybind11.readthedocs.io/", "home": "https://github.com/pybind/pybind11/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD-3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://github.com/pybind/pybind11/archive/v2.9.0.tar.gz", "subdirs": [ "linux-ppc64le" ], "summary": "Seamless operability between C++11 and Python", "tags": null, "text_prefix": false, "timestamp": 1655866350, "version": "2.9.0" }, "pydeprecate": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "The common use-case is moving your functions across codebase or outsourcing some functionalities to new packages. For most of these cases, you want to hold some compatibility, so you cannot simply remove past function, and also for some time you want to warn users that functionality they have been using is moved and not it is deprecated in favor of another function (which shall be used instead) and soon it will be removed completely. Another good aspect is to do not overwhelm a user with too many warnings, so per function/class, this warning is raised only N times in the preferable stream (warning, logger, etc.).", "dev_url": "https://github.com/Borda/pyDeprecate", "doc_source_url": null, "doc_url": null, "home": "https://pypi.org/project/pyDeprecate/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://pypi.io/packages/source/p/pyDeprecate/pyDeprecate-0.3.2.tar.gz", "subdirs": [ "noarch" ], "summary": "Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.", "tags": null, "text_prefix": false, "timestamp": 1655861485, "version": "0.3.2" }, "python-clang": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://llvm.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0 WITH LLVM-exception", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "noarch" ], "summary": "Development headers and libraries for Clang", "tags": null, "text_prefix": false, "timestamp": 1655835050, "version": "10.0.1" }, "pytorch-base": { "activate.d": true, "binary_prefix": false, "deactivate.d": true, "description": "PyTorch is an optimized tensor library for deep learning using GPUs and CPUs", "dev_url": "https://github.com/pytorch/pytorch", "doc_source_url": null, "doc_url": "https://pytorch.org/docs/stable/index.html", "home": "http://pytorch.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD 3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/pytorch/pytorch.git", "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.", "tags": null, "text_prefix": true, "timestamp": 1655862233, "version": "1.10.2" }, "pytorch-cpu": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Meta-package to install CPU-only PyTorch variant", "dev_url": "https://github.com/pytorch/pytorch", "doc_source_url": null, "doc_url": "https://pytorch.org/docs/stable/index.html", "home": "http://pytorch.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "BSD 3-Clause", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "Meta-package to install CPU-only PyTorch variant", "tags": null, "text_prefix": false, "timestamp": 1655868258, "version": "1.10.2" }, "pytorch-lightning": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://pypi.org/project/pytorch-lightning/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/PyTorchLightning/pytorch-lightning", "source_url": null, "subdirs": [ "noarch" ], "summary": "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.", "tags": null, "text_prefix": false, "timestamp": 1655863477, "version": "1.6.3" }, "pytorch-lightning-bolts": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/PyTorchLightning/pytorch-lightning-bolts/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/PyTorchLightning/pytorch-lightning-bolts", "source_url": null, "subdirs": [ "noarch" ], "summary": "Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch.", "tags": null, "text_prefix": false, "timestamp": 1655863535, "version": "0.5.0" }, "safeint": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/dcleblanc/SafeInt", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://github.com/dcleblanc/SafeInt/archive/refs/tags/3.0.26.tar.gz", "subdirs": [ "linux-ppc64le" ], "summary": "SafeInt is a class library for C++ that manages integer overflows.", "tags": null, "text_prefix": false, "timestamp": 1655864309, "version": "3.0.26" }, "sentencepiece": { "activate.d": false, "binary_prefix": true, "deactivate.d": false, "description": "SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing.", "dev_url": "https://github.com/google/sentencepiece", "doc_source_url": null, "doc_url": "https://github.com/google/sentencepiece", "home": "https://github.com/google/sentencepiece", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache License 2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/google/sentencepiece", "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "An unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems.", "tags": null, "text_prefix": true, "timestamp": 1655867947, "version": "0.1.96" }, "skl2onnx": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://github.com/onnx/sklearn-onnx", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://github.com/onnx/sklearn-onnx/archive/1.11.1.tar.gz", "subdirs": [ "noarch" ], "summary": "Convert scikit-learn models and pipelines to ONNX", "tags": null, "text_prefix": false, "timestamp": 1655865745, "version": "1.11.1" }, "tensorboard": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "TensorBoard is a suite of web applications for inspecting and understanding your TensorFlow runs and graphs.", "dev_url": "https://github.com/tensorflow/tensorboard", "doc_source_url": null, "doc_url": null, "home": "http://tensorflow.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/tensorflow/tensorboard.git", "source_url": null, "subdirs": [ "noarch" ], "summary": "TensorFlow's Visualization Toolkit.", "tags": null, "text_prefix": false, "timestamp": 1655858980, "version": "2.8.0" }, "tensorboard-data-server": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": "https://github.com/tensorflow/tensorboard/tree/master/tensorboard/data/server", "doc_source_url": null, "doc_url": null, "home": "http://tensorflow.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://files.pythonhosted.org/packages/74/69/5747a957f95e2e1d252ca41476ae40ce79d70d38151d2e494feb7722860c/tensorboard_data_server-0.6.1-py3-none-any.whl", "subdirs": [ "noarch" ], "summary": "Data server for TensorBoard", "tags": null, "text_prefix": false, "timestamp": 1655858635, "version": "0.6.1" }, "tensorflow-addons": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "TensorFlow Addons is a repository of contributions that conform to well-established API patterns, but implements new functionality not available in core.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://www.tensorflow.org/addons/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": { "0.16.1": { "weak": [ "tensorflow-addons >=0.16.1,<0.16.2.0a0" ] } }, "source_git_url": "https://github.com/tensorflow/addons.git", "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "A library that implements new functionality not available in core TensorFlow.", "tags": null, "text_prefix": false, "timestamp": 1655868815, "version": "0.16.1" }, "tensorflow-addons-proc": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://www.tensorflow.org/addons/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/tensorflow/addons.git", "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "A meta-package to select TensorFlow addons build variant", "tags": null, "text_prefix": false, "timestamp": 1655859254, "version": "0.16.1" }, "tensorflow-base": { "activate.d": true, "binary_prefix": false, "deactivate.d": true, "description": "TensorFlow provides multiple APIs.The lowest level API, TensorFlow Core provides you with complete programming control. Base GPU package contains only tensorflow, not tensorflow-tensorboard.", "dev_url": "https://github.com/tensorflow/tensorflow", "doc_source_url": "https://github.com/tensorflow/docs", "doc_url": "https://www.tensorflow.org", "home": "http://tensorflow.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache 2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/tensorflow/tensorflow.git", "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "TensorFlow is a machine learning library, base GPU package, tensorflow only.", "tags": null, "text_prefix": true, "timestamp": 1655841031, "version": "2.8.1" }, "tensorflow-cpu": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Meta-package to install CPU-only TensorFlow variant", "dev_url": "https://github.com/tensorflow/tensorflow", "doc_source_url": "https://github.com/tensorflow/docs", "doc_url": "https://www.tensorflow.org", "home": "http://tensorflow.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache 2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "Meta-package to install CPU-only TensorFlow variant", "tags": null, "text_prefix": false, "timestamp": 1655868729, "version": "2.8.1" }, "tensorflow-datasets": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "tensorflow-datasets is a library of public datasets ready to use with TensorFlow. Each dataset definition contains the logic necessary to download and prepare the dataset, as well as to read it into a model using the `tf.data.Dataset` API. Usage outside of TensorFlow is also supported.", "dev_url": "https://github.com/tensorflow/datasets.git", "doc_source_url": null, "doc_url": "https://github.com/tensorflow/datasets.git", "home": "https://github.com/tensorflow/datasets", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache License 2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://pypi.io/packages/source/t/tensorflow-datasets/tensorflow-datasets-4.4.0.tar.gz", "subdirs": [ "noarch" ], "summary": "A collection of datasets ready to use with TensorFlow", "tags": null, "text_prefix": true, "timestamp": 1655863602, "version": "4.4.0" }, "tensorflow-estimator": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "TensorFlow Estimator is a high-level API that encapsulates model training, evaluation, prediction, and exporting.", "dev_url": "https://github.com/tensorflow/estimator", "doc_source_url": null, "doc_url": null, "home": "https://www.tensorflow.org/guide/estimators", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache 2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/tensorflow/estimator.git", "source_url": null, "subdirs": [ "noarch" ], "summary": "TensorFlow Estimator", "tags": null, "text_prefix": false, "timestamp": 1655859125, "version": "2.8.0" }, "tensorflow-hub": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "TensorFlow Hub is a repository of reusable assets for machine learning with TensorFlow. In particular, it provides pre-trained SavedModels that can be reused to solve new tasks with less training time and less training data.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "https://www.tensorflow.org/hub/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/tensorflow/hub.git", "source_url": null, "subdirs": [ "noarch" ], "summary": "A library for transfer learning by reusing parts of TensorFlow models.", "tags": null, "text_prefix": true, "timestamp": 1655865320, "version": "0.12.0" }, "tensorflow-io-gcs-filesystem": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "TensorFlow I/O is a collection of file systems and file formats that are not available in TensorFlow's built-in support.", "dev_url": "https://github.com/tensorflow/io", "doc_source_url": null, "doc_url": "https://github.com/tensorflow/io/tree/v0.25.0/docs", "home": "http://tensorflow.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache 2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/tensorflow/io.git", "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "Dataset, streaming, and file system extensions", "tags": null, "text_prefix": false, "timestamp": 1655868697, "version": "0.25.0" }, "tensorflow-metadata": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow. The metadata serialization formats include- - A schema describing tabular data (e.g., tf.Examples). - A collection of summary statistics over such datasets. - A problem statement quantifying the objectives of a model. 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