{"id":23060094,"url":"https://github.com/rodrigosetti/dbn-cuda","last_synced_at":"2025-08-15T08:31:34.286Z","repository":{"id":32516110,"uuid":"36097233","full_name":"rodrigosetti/dbn-cuda","owner":"rodrigosetti","description":"GPU accelerated Deep Belief Network","archived":false,"fork":false,"pushed_at":"2015-05-22T22:14:52.000Z","size":3287,"stargazers_count":47,"open_issues_count":0,"forks_count":18,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-07-30T18:02:10.327Z","etag":null,"topics":["dbn","dbn-cuda","deep-belief-network","deep-learning","deep-neural-networks","neural-networks"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rodrigosetti.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2015-05-22T22:04:05.000Z","updated_at":"2024-06-17T02:10:19.000Z","dependencies_parsed_at":"2022-09-03T19:01:06.040Z","dependency_job_id":null,"html_url":"https://github.com/rodrigosetti/dbn-cuda","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rodrigosetti%2Fdbn-cuda","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rodrigosetti%2Fdbn-cuda/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rodrigosetti%2Fdbn-cuda/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rodrigosetti%2Fdbn-cuda/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rodrigosetti","download_url":"https://codeload.github.com/rodrigosetti/dbn-cuda/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":229901648,"owners_count":18141740,"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":["dbn","dbn-cuda","deep-belief-network","deep-learning","deep-neural-networks","neural-networks"],"created_at":"2024-12-16T03:11:26.016Z","updated_at":"2024-12-16T03:11:26.440Z","avatar_url":"https://github.com/rodrigosetti.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"dbn-cuda\n========\n\nGPU accelerated Deep Belief Network in Python\n\nFrom [Wikipedia](http://en.wikipedia.org/wiki/Deep_belief_network):\n\n\u003e In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a\n\u003e type of deep neural network, composed of multiple layers of latent variables (\"hidden units\"), with\n\u003e connections between the layers but not between units within each layer.\n\n\u003e When trained on a set of examples in an unsupervised way, a DBN can\n\u003e learn to probabilistically reconstruct its inputs. The layers then act as feature detectors on inputs.\n\u003e After this learning step, a DBN can be further trained in a supervised way to perform classification.\n\nSee the [example](example.ipynb).\n\nRequirements\n------------\n\n * [numpy](http://www.numpy.org)\n * [cudamat](https://github.com/cudamat/cudamat)\n * [PyPrind](https://pypi.python.org/pypi/PyPrind)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frodrigosetti%2Fdbn-cuda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frodrigosetti%2Fdbn-cuda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frodrigosetti%2Fdbn-cuda/lists"}