https://conda.anaconda.org/pytorch The most recent 57 updates for pytorch. Wed, 28 Oct 2026 13:50:18 GMT Wed, 28 Oct 2026 13:50:18 GMT A library for efficient similarity search and clustering of dense vectors. Wed, 16 Sep 2026 23:13:15 GMT https://github.com/facebookresearch/faiss No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.6.1.tar.gz Thu, 24 Oct 2024 19:14:10 GMT http://icl.cs.utk.edu/magma/software/index.html Model serving on PyTorch Thu, 16 May 2024 18:46:41 GMT https://github.com/pytorch/serve Metapackage to select the PyTorch variant. Use conda's pinning mechanism in your environment to control which variant you want. Tue, 23 Apr 2024 17:10:32 GMT A language and compiler for custom Deep Learning operation Mon, 08 Apr 2024 20:42:39 GMT https://github.com/openai/triton No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.6.1.tar.gz Tue, 12 Mar 2024 20:28:58 GMT http://icl.cs.utk.edu/magma/software/index.html A library for efficient similarity search and clustering of dense vectors. Fri, 01 Mar 2024 00:00:49 GMT https://github.com/facebookresearch/faiss Common modular data loading primitives for easily constructing flexible and performant data pipelines for PyTorch users https://pytorch.org/data Wed, 01 Nov 2023 21:03:19 GMT https://github.com/pytorch/data IJG JPEG compliant runtime library with SIMD and other optimizations https://github.com/libjpeg-turbo/libjpeg-turbo/archive/2.0.0.tar.gz Wed, 09 Aug 2023 20:49:37 GMT http://www.libjpeg-turbo.org/ No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.6.1.tar.gz Wed, 29 Mar 2023 20:52:06 GMT http://icl.cs.utk.edu/magma/software/index.html Captum is a model interpretability and understanding library for PyTorch. Captum means comprehension in Latin and contains general purpose implementations of integrated gradients, saliency maps, smoothgrad, vargrad and others for PyTorch models. It has quick integration for models built with domain-specific libraries such as torchvision, torchtext, and others. https://captum.ai https://github.com/pytorch/captum Wed, 28 Dec 2022 00:39:26 GMT https://captum.ai Data loaders and abstractions for text and NLP https://github.com/pytorch/text/archive/0.6.0.zip Fri, 09 Dec 2022 03:37:12 GMT https://github.com/pytorch/text No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.6.1.tar.gz Thu, 10 Nov 2022 16:31:21 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.6.1.tar.gz Thu, 18 Aug 2022 18:00:49 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.6.1.tar.gz Thu, 18 Aug 2022 17:58:06 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.6.1.tar.gz Thu, 18 Aug 2022 15:23:00 GMT http://icl.cs.utk.edu/magma/software/index.html PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Wed, 03 Aug 2022 02:39:28 GMT http://pytorch.org/ Model serving on PyTorch Fri, 13 May 2022 17:03:36 GMT https://github.com/pytorch/serve torchdistX C++ Runtime Library Development Files Thu, 14 Apr 2022 18:57:33 GMT https://github.com/pytorch/torchdistx torchdistX C++ Runtime Library Debug Symbols Thu, 14 Apr 2022 18:56:55 GMT https://github.com/pytorch/torchdistx torchdistX Python Library Thu, 14 Apr 2022 18:56:15 GMT https://github.com/pytorch/torchdistx torchdistX C++ Runtime Library Thu, 14 Apr 2022 18:54:30 GMT https://github.com/pytorch/torchdistx Workflow serving on PyTorch Sat, 26 Feb 2022 05:18:55 GMT https://github.com/pytorch/serve A library for efficient similarity search and clustering of dense vectors. Fri, 17 Dec 2021 11:43:31 GMT https://github.com/facebookresearch/faiss No description. Mon, 06 Sep 2021 07:33:35 GMT Metapackage to select the PyTorch variant. Use conda's pinning mechanism in your environment to control which variant you want. Wed, 04 Aug 2021 07:42:15 GMT A library for efficient similarity search and clustering of dense vectors. Mon, 07 Jun 2021 00:17:59 GMT https://github.com/facebookresearch/faiss No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Tue, 27 Apr 2021 22:47:41 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Thu, 07 Jan 2021 19:25:03 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Fri, 13 Nov 2020 00:05:47 GMT http://icl.cs.utk.edu/magma/software/index.html simple audio I/O for pytorch Mon, 26 Oct 2020 22:40:26 GMT https://github.com/pytorch/audio A library for efficient similarity search and clustering of dense vectors. Tue, 06 Oct 2020 23:16:27 GMT https://github.com/facebookresearch/faiss Ignite ====== .. image:: https://travis-ci.org/pytorch/ignite.svg?branch=master :target: https://travis-ci.org/pytorch/ignite .. image:: https://codecov.io/gh/pytorch/ignite/branch/master/graph/badge.svg :target: https://codecov.io/gh/pytorch/ignite Ignite is a high-level library to help with training neural networks in PyTorch. - ignite helps you write compact but full-featured training loops in a few lines of code - you get a training loop with metrics, early-stopping, model checkpointing and other features without the boilerplate Below we show a side-by-side comparison of using pure pytorch and using ignite to create a training loop to train and validate your model with occasional checkpointing: .. image:: assets/ignite_vs_bare_pytorch.png As you can see, the code is more concise and readable with ignite. Furthermore, adding additional metrics, or things like early stopping is a breeze in ignite, but can start to rapidly increase the complexity of your code when "rolling your own" training loop. Installation ============ From pip: .. code:: bash pip install pytorch-ignite From conda: .. code:: bash conda install pytorch-ignite -c pytorch From source: .. code:: bash python setup.py install Documentation ============= API documentation and an overview of the library can be found `here <https://pytorch.org/ignite/index.html>`_. Examples ======== Please check out the `examples <https://github.com/pytorch/ignite/tree/master/examples>`_ to see how to use `ignite` to train various types of networks, as well as how to use `visdom <https://github.com/facebookresearch/visdom>`_ or `tensorboardX <https://github.com/lanpa/tensorboard-pytorch>`_ for training visualizations. Contributing ============ We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us. Please see the `contribution guidelines <https://github.com/pytorch/ignite/blob/master/CONTRIBUTING.md>`_ for more information. As always, PRs are welcome :) How does this compare to Torchnet? ================================== Ignite, in spirit is very similar to `torchnet <https://github.com/pytorch/tnt>`_ (and was inspired by torchnet). The main differences with torchnet is the level of abstraction for the user. Ignite's higher level of abstraction assumes less about the type of network (or networks) that you are training, and we require the user to define the closure to be run in the training and validation loop. In contrast to this, torchnet creates this closure internally based on the network and optimizer you pass to it. This higher level of abstraction allows for a great deal more of flexibility, such as co-training multiple models (i.e. GANs) and computing/tracking multiple losses and metrics in your training loop. Ignite also allows for multiple handlers to be attached to events, and a finer granularity of events in the engine loop. https://docs.pytorch.org/ignite/ https://github.com/pytorch/ignite https://pypi.io/packages/source/p/pytorch-ignite/pytorch-ignite-0.1.0.tar.gz Sun, 20 Sep 2020 19:59:48 GMT https://pytorch-ignite.ai Cryptographically secure pseudorandom number generators for PyTorch Mon, 17 Aug 2020 16:16:59 GMT https://github.com/pytorch/csprng Cross-platform solution to record, convert and stream audio and video. Tue, 11 Aug 2020 20:46:14 GMT http://www.ffmpeg.org/ No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Mon, 03 Aug 2020 17:19:44 GMT http://icl.cs.utk.edu/magma/software/index.html image and video datasets and models for torch deep learning Sat, 25 Jul 2020 01:02:06 GMT https://github.com/pytorch/vision Bayesian Optimization in PyTorch https://botorch.org/docs/introduction https://github.com/pytorch/botorch Wed, 13 May 2020 16:26:50 GMT https://botorch.org No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Sat, 29 Feb 2020 00:00:44 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Mon, 05 Aug 2019 03:37:27 GMT http://icl.cs.utk.edu/magma/software/index.html simple audio I/O for pytorch Tue, 30 Jul 2019 15:09:22 GMT https://github.com/pytorch/audio image and video datasets and models for torch deep learning Thu, 23 May 2019 08:51:48 GMT https://github.com/pytorch/vision PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Wed, 01 May 2019 01:50:42 GMT http://pytorch.org/ No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Thu, 28 Mar 2019 02:17:36 GMT http://icl.cs.utk.edu/magma/software/index.html A lightweight library to help with training neural networks in PyTorch. Fri, 01 Mar 2019 14:58:01 GMT https://github.com/pytorch/ignite No description. http://icl.cs.utk.edu/projectsfiles/magma/downloads/magma-2.5.0.tar.gz Sat, 02 Feb 2019 00:20:16 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.utk.edu/projectsfiles/magma/downloads/magma-2.5.2.tar.gz Sat, 02 Feb 2019 00:12:38 GMT http://icl.cs.utk.edu/magma/software/index.html No description. Fri, 07 Dec 2018 06:24:06 GMT No description. Wed, 25 Jul 2018 05:31:43 GMT No description. Wed, 25 Jul 2018 05:17:06 GMT No description. Thu, 05 Apr 2018 19:38:13 GMT No description. Thu, 05 Apr 2018 11:05:36 GMT No description. Thu, 08 Feb 2018 20:33:45 GMT No description. http://icl.cs.utk.edu/projectsfiles/magma/downloads/magma-2.3.0.tar.gz Thu, 08 Feb 2018 06:46:47 GMT http://icl.cs.utk.edu/magma/software/index.html No description. Wed, 15 Nov 2017 03:10:25 GMT No description. http://icl.cs.utk.edu/projectsfiles/magma/downloads/magma-2.3.0.tar.gz Mon, 13 Nov 2017 23:27:56 GMT http://icl.cs.utk.edu/magma/software/index.html No description. http://icl.cs.utk.edu/projectsfiles/magma/downloads/magma-2.2.0.tar.gz Mon, 13 Nov 2017 23:11:01 GMT http://icl.cs.utk.edu/magma/software/index.html