{"id":31296727,"url":"https://github.com/klima7/numpynet","last_synced_at":"2025-09-24T21:03:29.324Z","repository":{"id":129681294,"uuid":"557755672","full_name":"klima7/numpynet","owner":"klima7","description":"Convolutional Neural Network written from scratch using numpy with API similar to tensorflow.","archived":false,"fork":false,"pushed_at":"2024-03-17T23:21:10.000Z","size":5415,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-25T06:48:51.403Z","etag":null,"topics":["cnn","convolution","network","nn","numpy","scratch","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/klima7.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,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2022-10-26T08:41:27.000Z","updated_at":"2024-03-17T23:18:34.000Z","dependencies_parsed_at":"2024-03-18T00:36:02.598Z","dependency_job_id":null,"html_url":"https://github.com/klima7/numpynet","commit_stats":null,"previous_names":["klima7/numpynet","klima7/cnn-from-scratch"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/klima7/numpynet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/klima7%2Fnumpynet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/klima7%2Fnumpynet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/klima7%2Fnumpynet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/klima7%2Fnumpynet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/klima7","download_url":"https://codeload.github.com/klima7/numpynet/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/klima7%2Fnumpynet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":276554021,"owners_count":25662960,"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":"2025-09-23T02:00:09.130Z","response_time":73,"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":["cnn","convolution","network","nn","numpy","scratch","tensorflow"],"created_at":"2025-09-24T21:02:58.548Z","updated_at":"2025-09-24T21:03:29.316Z","avatar_url":"https://github.com/klima7.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# numpynet\nConvolutional Neural Network written from scratch using numpy with API similar to tensorflow. Library was compared with tensorflow versions of network (`demo` directory) and achieved very close results.\n\n## Installation\n```bash\npip install numpynet\n```\n\n## Implemented Elements\n\n### Layers\n- `InputLayer`\n- `DenseLayer`\n- `BiasLayer`\n- `ActivationLayer (relu, leaky reLu, sigmoid, tanh, sin)`\n- `DropoutLayer`\n- `FlattenLayer`\n- `Conv2DLayer (with bias \u0026 stride)`\n- `Pool2DLayer (max, min)`\n- `Padding2DLayer`\n- `Crop2DLayer`\n- `SoftmaxLayer`\n\n### Losses\n- `MSE`\n- `CCE`\n\n### Initializers\n- `ConstantInitializer`\n- `RandomNormalInitializer`\n- `RandomUniformInitializer`\n- `GlorotUniformInitialization`\n\n### Metrics\n- `CategoricalAccuracy`\n\n### Callbacks\n- `ModelCheckpoint`\n- `EarlyStopping`\n\n## Usage Example\n\n### Definition\n```\nlayers = [\n    numpynet.layers.InputLayer((28, 28, 1)),\n    numpynet.layers.Conv2DLayer(32, kernel_size=3, stride=1),\n    numpynet.layers.ActivationLayer('relu'),\n    numpynet.layers.FlattenLayer(),\n    numpynet.layers.DenseLayer(128),\n    numpynet.layers.BiasLayer(),\n    numpynet.layers.ActivationLayer('relu'),\n    numpynet.layers.DropoutLayer(0.5),\n    numpynet.layers.DenseLayer(10),\n    numpynet.layers.BiasLayer(),\n    numpynet.layers.SoftmaxLayer(),\n]\n\nmodel = numpynet.network.Sequential(layers)\n```\n\n### Compilation\n```\nmodel.compile(\n    loss='cce',\n    metrics=['categorical_accuracy']\n)\n```\n\n### Fitting\n```\ncheckpoint_callback = numpynet.callbacks.ModelCheckpoint('checkpoint.dat')\n\nhistory = model.fit(\n    train_x,\n    train_y,\n    validation_data=(test_x, test_y),\n    learning_rate=0.001,\n    epochs=10,\n    callbacks=[checkpoint_callback],\n)\n```\n\n### Predicting\n```\npredictions = model.predict(test_x)\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fklima7%2Fnumpynet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fklima7%2Fnumpynet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fklima7%2Fnumpynet/lists"}