{"id":13399505,"url":"https://github.com/apache/mxnet","last_synced_at":"2025-10-05T20:31:08.802Z","repository":{"id":31302175,"uuid":"34864402","full_name":"apache/mxnet","owner":"apache","description":"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more","archived":true,"fork":false,"pushed_at":"2023-10-25T21:28:33.000Z","size":101275,"stargazers_count":20829,"open_issues_count":2009,"forks_count":6750,"subscribers_count":1065,"default_branch":"master","last_synced_at":"2025-10-02T03:49:55.513Z","etag":null,"topics":["mxnet"],"latest_commit_sha":null,"homepage":"https://mxnet.apache.org","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/apache.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":"CODEOWNERS","security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2015-04-30T16:21:15.000Z","updated_at":"2025-10-01T13:25:09.000Z","dependencies_parsed_at":"2024-04-28T02:03:08.445Z","dependency_job_id":null,"html_url":"https://github.com/apache/mxnet","commit_stats":{"total_commits":10436,"total_committers":999,"mean_commits":"10.446446446446446","dds":0.9467228823303948,"last_synced_commit":"b84609d3fc73d20929c114eab95faaa56e6c5ede"},"previous_names":["apache/incubator-mxnet","dmlc/mxnet"],"tags_count":46,"template":false,"template_full_name":null,"purl":"pkg:github/apache/mxnet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Fmxnet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Fmxnet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Fmxnet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Fmxnet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/apache","download_url":"https://codeload.github.com/apache/mxnet/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apache%2Fmxnet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":277958640,"owners_count":25905747,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-02T02:00:08.890Z","response_time":67,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["mxnet"],"created_at":"2024-07-30T19:00:38.602Z","updated_at":"2025-10-05T20:31:06.645Z","avatar_url":"https://github.com/apache.png","language":"C++","readme":"\u003c!--\n  ~ Licensed to the Apache Software Foundation (ASF) under one\n  ~ or more contributor license agreements.  See the NOTICE file\n  ~ distributed with this work for additional information\n  ~ regarding copyright ownership.  The ASF licenses this file\n  ~ to you under the Apache License, Version 2.0 (the\n  ~ \"License\"); you may not use this file except in compliance\n  ~ with the License.  You may obtain a copy of the License at\n  ~\n  ~   http://www.apache.org/licenses/LICENSE-2.0\n  ~\n  ~ Unless required by applicable law or agreed to in writing,\n  ~ software distributed under the License is distributed on an\n  ~ \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n  ~ KIND, either express or implied.  See the License for the\n  ~ specific language governing permissions and limitations\n  ~ under the License.\n  ~\n--\u003e\n\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://mxnet.apache.org/\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet_logo_2.png\"\u003e\u003c/a\u003e\u003cbr\u003e\n\u003c/div\u003e\n\n[![banner](https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/banner.png)](https://mxnet.apache.org)\n\nApache MXNet for Deep Learning\n===========================================\n[![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/apache/mxnet)](https://github.com/apache/mxnet/releases) [![GitHub stars](https://img.shields.io/github/stars/apache/mxnet)](https://github.com/apache/mxnet/stargazers) [![GitHub forks](https://img.shields.io/github/forks/apache/mxnet)](https://github.com/apache/mxnet/network) [![GitHub contributors](https://img.shields.io/github/contributors-anon/apache/mxnet)](https://github.com/apache/mxnet/graphs/contributors) [![GitHub issues](https://img.shields.io/github/issues/apache/mxnet)](https://github.com/apache/mxnet/issues) [![good first issue](https://img.shields.io/github/issues/apache/mxnet/good%20first%20issue)](https://github.com/apache/mxnet/labels/good%20first%20issue) [![GitHub pull requests by-label](https://img.shields.io/github/issues-pr/apache/mxnet/pr-awaiting-review)](https://github.com/apache/mxnet/labels/pr-awaiting-review) [![GitHub license](https://img.shields.io/github/license/apache/mxnet)](https://github.com/apache/mxnet/blob/master/LICENSE) [![Twitter](https://img.shields.io/twitter/url?style=social\u0026url=https%3A%2F%2Fgithub.com%2Fapache%2Fmxnet)](https://twitter.com/intent/tweet?text=Wow:%20https%3A%2F%2Fgithub.com%2Fapache%2Fmxnet%20@ApacheMXNet) [![Twitter Follow](https://img.shields.io/twitter/follow/ApacheMXNet?style=social)](https://twitter.com/ApacheMXNet)\n\nApache MXNet is a deep learning framework designed for both *efficiency* and *flexibility*.\nIt allows you to ***mix*** [symbolic and imperative programming](https://mxnet.apache.org/api/architecture/program_model)\nto ***maximize*** efficiency and productivity.\nAt its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.\nA graph optimization layer on top of that makes symbolic execution fast and memory efficient.\nMXNet is portable and lightweight, scalable to many GPUs and machines.\n\nApache MXNet is more than a deep learning project. It is a [community](https://mxnet.apache.org/versions/master/community)\non a mission of democratizing AI. It is a collection of [blue prints and guidelines](https://mxnet.apache.org/api/architecture/overview)\nfor building deep learning systems, and interesting insights of DL systems for hackers.\n\nLicensed under an [Apache-2.0](https://github.com/apache/mxnet/blob/master/LICENSE) license.\n\n| Branch  | Build Status  |\n|:-------:|:-------------:|\n| [master](https://github.com/apache/mxnet/tree/master) | [![CentOS CPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-cpu/job/master/badge/icon?subject=build%20centos%20cpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-cpu/job/master/) [![CentOS GPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-gpu/job/master/badge/icon?subject=build%20centos%20gpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-gpu/job/master/) [![Clang Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/clang/job/master/badge/icon?subject=build%20clang)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/clang/job/master/) \u003cbr\u003e [![Edge Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/edge/job/master/badge/icon?subject=build%20edge)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/edge/job/master/) [![Miscellaneous Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/miscellaneous/job/master/badge/icon?subject=build%20miscellaneous)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/miscellaneous/job/master/) [![Sanity Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/sanity/job/master/badge/icon?subject=build%20sanity)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/sanity/job/master/) \u003cbr\u003e [![Unix CPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-cpu/job/master/badge/icon?subject=build%20unix%20cpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-cpu/job/master/) [![Unix GPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-gpu/job/master/badge/icon?subject=build%20unix%20gpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-gpu/job/master/) [![Website Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/website/job/master/badge/icon?subject=build%20website)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/website/job/master/) \u003cbr\u003e [![Windows CPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-cpu/job/master/badge/icon?subject=build%20windows%20cpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-cpu/job/master/) [![Windows GPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-gpu/job/master/badge/icon?subject=build%20windows%20gpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-gpu/job/master/) [![Documentation Status](http://jenkins.mxnet-ci.com/job/restricted-website-build/badge/icon)](https://mxnet.apache.org/) |\n| [v1.x](https://github.com/apache/mxnet/tree/v1.x) | [![CentOS CPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-cpu/job/v1.x/badge/icon?subject=build%20centos%20cpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-cpu/job/v1.x/) [![CentOS GPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-gpu/job/v1.x/badge/icon?subject=build%20centos%20gpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/centos-gpu/job/v1.x/) [![Clang Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/clang/job/v1.x/badge/icon?subject=build%20clang)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/clang/job/v1.x/) \u003cbr\u003e [![Edge Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/edge/job/v1.x/badge/icon?subject=build%20edge)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/edge/job/v1.x/) [![Miscellaneous Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/miscellaneous/job/v1.x/badge/icon?subject=build%20miscellaneous)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/miscellaneous/job/v1.x/) [![Sanity Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/sanity/job/v1.x/badge/icon?subject=build%20sanity)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/sanity/job/v1.x/) \u003cbr\u003e [![Unix CPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-cpu/job/v1.x/badge/icon?subject=build%20unix%20cpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-cpu/job/v1.x/) [![Unix GPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-gpu/job/v1.x/badge/icon?subject=build%20unix%20gpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/unix-gpu/job/v1.x/) [![Website Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/website/job/v1.x/badge/icon?subject=build%20website)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/website/job/v1.x/) \u003cbr\u003e [![Windows CPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-cpu/job/v1.x/badge/icon?subject=build%20windows%20cpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-cpu/job/v1.x/) [![Windows GPU Build Status](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-gpu/job/v1.x/badge/icon?subject=build%20windows%20gpu)](http://jenkins.mxnet-ci.com/job/mxnet-validation/job/windows-gpu/job/v1.x/) [![Documentation Status](http://jenkins.mxnet-ci.com/job/restricted-website-build/badge/icon)](https://mxnet.apache.org/) |\n\nFeatures\n--------\n* NumPy-like programming interface, and is integrated with the new, easy-to-use Gluon 2.0 interface. NumPy users can easily adopt MXNet and start in deep learning.\n* Automatic hybridization provides imperative programming with the performance of traditional symbolic programming.\n* Lightweight, memory-efficient, and portable to smart devices through native cross-compilation support on ARM, and through ecosystem projects such as [TVM](https://tvm.ai), [TensorRT](https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html), [OpenVINO](https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html).\n* Scales up to multi GPUs and distributed setting with auto parallelism through [ps-lite](https://github.com/dmlc/ps-lite), [Horovod](https://github.com/horovod/horovod), and [BytePS](https://github.com/bytedance/byteps).\n* Extensible backend that supports full customization, allowing integration with custom accelerator libraries and in-house hardware without the need to maintain a fork.\n* Support for [Python](https://mxnet.apache.org/api/python), [Java](https://mxnet.apache.org/api/java), [C++](https://mxnet.apache.org/api/cpp), [R](https://mxnet.apache.org/api/r), [Scala](https://mxnet.apache.org/api/scala), [Clojure](https://mxnet.apache.org/api/clojure), [Go](https://github.com/jdeng/gomxnet/), [Javascript](https://github.com/dmlc/mxnet.js/), [Perl](https://mxnet.apache.org/api/perl), and [Julia](https://mxnet.apache.org/api/julia).\n* Cloud-friendly and directly compatible with AWS and Azure.\n\nContents\n--------\n* [Installation](https://mxnet.apache.org/get_started)\n* [Tutorials](https://mxnet.apache.org/api/python/docs/tutorials/)\n* [Ecosystem](https://mxnet.apache.org/ecosystem)\n* [API Documentation](https://mxnet.apache.org/api)\n* [Examples](https://github.com/apache/mxnet-examples)\n* [Stay Connected](#stay-connected)\n* [Social Media](#social-media)\n\nWhat's New\n----------\n* [1.9.1 Release](https://github.com/apache/mxnet/releases/tag/1.9.1) - MXNet 1.9.1 Release.\n* [1.8.0 Release](https://github.com/apache/mxnet/releases/tag/1.8.0) - MXNet 1.8.0 Release.\n* [1.7.0 Release](https://github.com/apache/mxnet/releases/tag/1.7.0) - MXNet 1.7.0 Release.\n* [1.6.0 Release](https://github.com/apache/mxnet/releases/tag/1.6.0) - MXNet 1.6.0 Release.\n* [1.5.1 Release](https://github.com/apache/mxnet/releases/tag/1.5.1) - MXNet 1.5.1 Patch Release.\n* [1.5.0 Release](https://github.com/apache/mxnet/releases/tag/1.5.0) - MXNet 1.5.0 Release.\n* [1.4.1 Release](https://github.com/apache/mxnet/releases/tag/1.4.1) - MXNet 1.4.1 Patch Release.\n* [1.4.0 Release](https://github.com/apache/mxnet/releases/tag/1.4.0) - MXNet 1.4.0 Release.\n* [1.3.1 Release](https://github.com/apache/mxnet/releases/tag/1.3.1) - MXNet 1.3.1 Patch Release.\n* [1.3.0 Release](https://github.com/apache/mxnet/releases/tag/1.3.0) - MXNet 1.3.0 Release.\n* [1.2.0 Release](https://github.com/apache/mxnet/releases/tag/1.2.0) - MXNet 1.2.0 Release.\n* [1.1.0 Release](https://github.com/apache/mxnet/releases/tag/1.1.0) - MXNet 1.1.0 Release.\n* [1.0.0 Release](https://github.com/apache/mxnet/releases/tag/1.0.0) - MXNet 1.0.0 Release.\n* [0.12.1 Release](https://github.com/apache/mxnet/releases/tag/0.12.1) - MXNet 0.12.1 Patch Release.\n* [0.12.0 Release](https://github.com/apache/mxnet/releases/tag/0.12.0) - MXNet 0.12.0 Release.\n* [0.11.0 Release](https://github.com/apache/mxnet/releases/tag/0.11.0) - MXNet 0.11.0 Release.\n* [Apache Incubator](http://incubator.apache.org/projects/mxnet.html) - We are now an Apache Incubator project.\n* [0.10.0 Release](https://github.com/apache/mxnet/releases/tag/v0.10.0) - MXNet 0.10.0 Release.\n* [0.9.3 Release](./docs/architecture/release_note_0_9.md) - First 0.9 official release.\n* [0.9.1 Release (NNVM refactor)](./docs/architecture/release_note_0_9.md) - NNVM branch is merged into master now. An official release will be made soon.\n* [0.8.0 Release](https://github.com/apache/mxnet/releases/tag/v0.8.0)\n\n### Ecosystem News\n\n* [oneDNN for Faster CPU Performance](docs/python_docs/python/tutorials/performance/backend/dnnl/dnnl_readme.md)\n* [MXNet Memory Monger, Training Deeper Nets with Sublinear Memory Cost](https://github.com/dmlc/mxnet-memonger)\n* [Tutorial for NVidia GTC 2016](https://github.com/dmlc/mxnet-gtc-tutorial)\n* [MXNet.js: Javascript Package for Deep Learning in Browser (without server)](https://github.com/dmlc/mxnet.js/)\n* [Guide to Creating New Operators (Layers)](https://mxnet.apache.org/api/faq/new_op)\n* [Go binding for inference](https://github.com/songtianyi/go-mxnet-predictor)\n\nStay Connected\n--------------\n\n| Channel | Purpose |\n|---|---|\n| [Follow MXNet Development on Github](https://github.com/apache/mxnet/issues) | See what's going on in the MXNet project. |\n| [MXNet Confluence Wiki for Developers](https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+Home) \u003ci class=\"fas fa-external-link-alt\"\u003e | MXNet developer wiki for information related to project development, maintained by contributors and developers. To request write access, send an email to [send request to the dev list](mailto:dev@mxnet.apache.org?subject=Requesting%20CWiki%20write%20access) \u003ci class=\"far fa-envelope\"\u003e\u003c/i\u003e. |\n| [dev@mxnet.apache.org mailing list](https://lists.apache.org/list.html?dev@mxnet.apache.org) | The \"dev list\". Discussions about the development of MXNet. To subscribe, send an email to [dev-subscribe@mxnet.apache.org](mailto:dev-subscribe@mxnet.apache.org) \u003ci class=\"far fa-envelope\"\u003e\u003c/i\u003e. |\n| [discuss.mxnet.io](https://discuss.mxnet.io) \u003ci class=\"fas fa-external-link-alt\"\u003e\u003c/i\u003e | Asking \u0026 answering MXNet usage questions. |\n| [Apache Slack #mxnet Channel](https://the-asf.slack.com/archives/C7FN4FCP9) \u003ci class=\"fas fa-external-link-alt\"\u003e | Connect with MXNet and other Apache developers. To join the MXNet slack channel [send request to the dev list](mailto:dev@mxnet.apache.org?subject=Requesting%20slack%20access) \u003ci class=\"far fa-envelope\"\u003e\u003c/i\u003e. |\n| [Follow MXNet on Social Media](#social-media) | Get updates about new features and events. |\n\n\n### Social Media\n\nKeep connected with the latest MXNet news and updates.\n\n\u003cp\u003e\n\u003ca href=\"https://twitter.com/apachemxnet\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/social/twitter.svg?sanitize=true\" height=\"30px\"/\u003e Apache MXNet on Twitter\u003c/a\u003e\n\u003c/p\u003e\n\u003cp\u003e\n\u003ca href=\"https://medium.com/apache-mxnet\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/social/medium_black.svg?sanitize=true\" height=\"30px\"/\u003e Contributor and user blogs about MXNet\u003c/a\u003e\n\u003c/p\u003e\n\u003cp\u003e\n\u003ca href=\"https://reddit.com/r/mxnet\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/social/reddit_blue.svg?sanitize=true\" height=\"30px\" alt=\"reddit\"/\u003e Discuss MXNet on r/mxnet\u003c/a\u003e\n\u003c/p\u003e\n\u003cp\u003e\n\u003ca href=\"https://www.youtube.com/apachemxnet\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/social/youtube_red.svg?sanitize=true\" height=\"30px\"/\u003e Apache MXNet YouTube channel\u003c/a\u003e\n\u003c/p\u003e\n\u003cp\u003e\n\u003ca href=\"https://www.linkedin.com/company/apache-mxnet\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/social/linkedin.svg?sanitize=true\" height=\"30px\"/\u003e Apache MXNet on LinkedIn\u003c/a\u003e\n\u003c/p\u003e\n\n\nHistory\n-------\nMXNet emerged from a collaboration by the authors of [cxxnet](https://github.com/dmlc/cxxnet), [minerva](https://github.com/dmlc/minerva), and [purine2](https://github.com/purine/purine2). The project reflects what we have learned from the past projects. MXNet combines aspects of each of these projects to achieve flexibility, speed, and memory efficiency.\n\nTianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao,\nBing Xu, Chiyuan Zhang, and Zheng Zhang.\n[MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems](https://github.com/dmlc/web-data/raw/master/mxnet/paper/mxnet-learningsys.pdf).\nIn Neural Information Processing Systems, Workshop on Machine Learning Systems, 2015\n","funding_links":[],"categories":["C++","Frameworks-for-Training","Frameworks for Training","Training","Table of Contents","Source code"],"sub_categories":["Popular-LLM","Frameworks for Training","Mathematics and Science","Chat"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapache%2Fmxnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapache%2Fmxnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapache%2Fmxnet/lists"}