{"id":13417952,"url":"https://github.com/dmlc/cxxnet","last_synced_at":"2025-09-28T20:30:43.027Z","repository":{"id":14107787,"uuid":"16812372","full_name":"dmlc/cxxnet","owner":"dmlc","description":"move forward to https://github.com/dmlc/mxnet","archived":true,"fork":false,"pushed_at":"2015-09-29T03:57:26.000Z","size":5299,"stargazers_count":1026,"open_issues_count":65,"forks_count":423,"subscribers_count":178,"default_branch":"master","last_synced_at":"2024-05-29T04:43:53.101Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dmlc.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2014-02-13T18:26:55.000Z","updated_at":"2024-05-24T23:56:11.000Z","dependencies_parsed_at":"2022-08-24T20:40:46.785Z","dependency_job_id":null,"html_url":"https://github.com/dmlc/cxxnet","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmlc%2Fcxxnet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmlc%2Fcxxnet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmlc%2Fcxxnet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmlc%2Fcxxnet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dmlc","download_url":"https://codeload.github.com/dmlc/cxxnet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":234556406,"owners_count":18851948,"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","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":[],"created_at":"2024-07-30T22:00:56.061Z","updated_at":"2025-09-28T20:30:42.512Z","avatar_url":"https://github.com/dmlc.png","language":"C++","funding_links":[],"categories":["TODO scan for Android support in followings","C++"],"sub_categories":[],"readme":"# We move forward to [MXNet](https://github.com/dmlc/mxnet) !\n----\n\nDear users,\n\nThanks for using and supporting cxxnet. Today, we finally make a hard but exciting decision: **we decide to deprecate cxxnet and fully move forward to next generation toolkit [MXNet](https://github.com/dmlc/mxnet).**\n\nPlease check the feature [highlights](https://github.com/dmlc/mxnet#features), [speed/memory comparation](https://github.com/dmlc/mxnet/tree/master/example/imagenet) and [examples](https://github.com/dmlc/mxnet/tree/master/example) in MXNet.\n\n\ncxxnet developers,\n\n28th, Sep, 2015\n\n\n-----\nNote: We provide a very simple converter to MXNet. Check [guide](simple_mxnet_converter) to see whether your model is able to be converted. \n\n------\n\n#cxxnet\n\n\nCXXNET is a fast, concise, distributed deep learning framework.\n\nContributors: https://github.com/antinucleon/cxxnet/graphs/contributors\n\n* [Documentation](doc)\n* [Learning to use cxxnet by examples](example)\n* [Note on Code](src)\n* User Group(TODO)\n\n###Feature Highlights\n\n* Lightweight: small but sharp knife\n  - cxxnet contains concise implementation of state-of-art deep learning models\n  - The project maintains a minimum dependency that makes it portable and easy to build\n* Scale beyond single GPU and single machine\n  - The library works on multiple GPUs, with nearly linear speedup\n  - THe library works distributedly backed by disrtibuted parameter server\n* Easy extensibility with no requirement on GPU programming\n  - cxxnet is build on [mshadow](#backbone-library)\n  - developer can write numpy-style template expressions to extend the library only once\n  - mshadow will generate high performance CUDA and CPU code for users\n  - It brings concise and readable code, with performance matching hand crafted kernels\n* Convenient interface for other languages\n  - Python interface for training from numpy array, and prediction/extraction to numpy array\n  - Matlab interface\n\n### News\n* 24-May, 2015: Pretrained [Inception model](example/ImageNet/Inception-BN.conf) with 89.9% Top-5 Correctness is ready to use.\n* 09-Apr, 2015: Matlab Interface is ready to use\n\n\n### Backbone Library\nCXXNET is built on [MShadow: Lightweight CPU/GPU Tensor Template Library](https://github.com/tqchen/mshadow)\n* MShadow is an efficient, device invariant and simple tensor library\n  - MShadow allows user to write expressions for machine learning while still provides\n  - This means developer do not need to have knowledge on CUDA kernels to extend cxxnet.\n* MShadow also provides a parameter interface for Multi-GPU and distributed deep learning\n  - Improvements to cxxnet can naturally run on Multiple GPUs and being distributed\n\n###Build\n\n* Copy ```make/config.mk``` to root foler of the project\n* Modify the config to adjust your enviroment settings\n* Type ```./build.sh``` to build cxxnet\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmlc%2Fcxxnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmlc%2Fcxxnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmlc%2Fcxxnet/lists"}