{"data":{"full_name":"zhongkaifu/RNNSharp","name":"RNNSharp","description":"RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.","stars":287.0,"forks":90.0,"language":"C#","license":"BSD-3-Clause","archived":0.0,"subcategory":null,"last_pushed_at":"2020-08-03T16:16:04+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":10.0,"maturity_score":16.0,"community_score":24.0,"quality_score":50.0,"quality_tier":"established","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-11T09:24:45.957439+00:00"}}