https://www.daiphys.com/portal/ 2026-04-30T21:11:35+00:00 https://www.daiphys.com/portal/ https://www.daiphys.com/portal/_media/wiki/dokuwiki.svg text/html 2025-12-20T17:38:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/botorch.html?rev=1766252315&do=diff BoTorch Tutorials References BoTorch <https://botorch.org/> text/html 2024-05-09T06:19:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/dify.html?rev=1715235584&do=diff Dify References Dify <https://dify.ai/> text/html 2023-05-04T06:14:49+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/index.html?rev=1683180889&do=diff Tools * BoTorch * Dify * Keras * Lasagne * LightGBM * ONNX * OpenVINO * Optuna * PyTorch * Scikit-Learn * TensorFlow * Theano * TVM * XGBoost text/html 2023-10-13T03:50:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/keras.html?rev=1697169048&do=diff Keras Tutorials Google Colaboratory - MNIST <https://colab.research.google.com/drive/15G_LiYUGbhXzUv5x0EHAzuH8twn7JBN5> References Keras <https://keras.io/> <https://keras.io/api/models/sequential/> <https://keras.io/guides/sequential_model/> <https://keras.io/ja/getting-started/sequential-model-guide/> text/html 2023-05-30T15:22:51+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/lasagne.html?rev=1685460171&do=diff Lasagne Install ## Latest Version: 0.2.dev1 pip install https://github.com/Lasagne/Lasagne/archive/master.zip References Lasagne <https://lasagne.readthedocs.io/> text/html 2023-10-22T15:22:54+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/lightgbm.html?rev=1697988174&do=diff LightGBM Tutorials Google Colaboratory - LightGBM/MNIST(Scikit-Learn) as Classification <https://colab.research.google.com/drive/1nBdrnOdu3iVDczB2I7nipRvxkHbsjLlE> Google Colaboratory - LightGBM/MNIST(Scikit-Learn) as Regression <https://colab.research.google.com/drive/1nzzAWgfrQqyxLH8CuOzy4iJMqa_Mv7QT> Google Colaboratory - LightGBM/Optuna/SHAP <https://colab.research.google.com/drive/1cUOdzkernDUhxbV7QveZqTCgObKmQx2P> Results MNIST(Scikit-Learn) as Classification text/html 2023-10-13T03:51:06+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/onnx.html?rev=1697169066&do=diff ONNX ONNX = Open Neural Network Exchange Tutorials Google Colaboratory - Example/Sigmoid <https://colab.research.google.com/drive/1UtkuWfNiflfZpg-JUHAPmb0LZ5EU_Xtd> Google Colaboratory - ModelZoo/VGG19 <https://colab.research.google.com/drive/1AYm9547F09O8dFyng_9Qhx-eDNI2G1rY> Google Colaboratory - PyTorch+ONNX/SwinTransformer <https://colab.research.google.com/drive/1KHDqzMGlvm64F5GtqqFS7tIq9gn7z6sL> Results ONNX Runtime Example - Sigmoid <https://onnxruntime.ai/docs/api/python/auto… text/html 2023-05-11T05:48:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/openvino.html?rev=1683784127&do=diff OpenVINO Neural Compute Stick (NCS) Demo 01 C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\demo\demo_security_barrier_camera.bat Demo 02 ## Remove audio input to avoid a bug on OpenVINO 2020.2.117 ffmpeg.exe -an -i sample.mov sample.mp4 text/html 2023-10-13T03:51:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/optuna.html?rev=1697169078&do=diff Optuna Tutorials Google Colaboratory - LightGBM/Optuna/SHAP <https://colab.research.google.com/drive/1cUOdzkernDUhxbV7QveZqTCgObKmQx2P> Google Colaboratory - PyTorch/Optuna <https://colab.research.google.com/drive/1lO_0cBKVBSfJekuMUZLUTfpz8S2rIxLL> References Optuna <https://optuna.org/> text/html 2025-05-02T02:13:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/pytorch.html?rev=1746152027&do=diff PyTorch Tutorials Google Colaboratory - MNIST/MLP <https://colab.research.google.com/drive/1ZuHlt_KWNEaxjzyHC6hI_cU8RMleH4tP> Google Colaboratory - MNIST/MLP via Optuna <https://colab.research.google.com/drive/1lO_0cBKVBSfJekuMUZLUTfpz8S2rIxLL> Google Colaboratory - MNIST/CNV <https://colab.research.google.com/drive/133EFmZ2Si7zJwZFCDo8P1gc-Wmt5ggCV> Google Colaboratory - MNIST/CNV as Regression <https://colab.research.google.com/drive/1FnUbW9L_Nd_1_GDReDSnEKkA2wroff2K> Google Colabora… text/html 2023-05-04T06:16:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/scikit.html?rev=1683180992&do=diff Scikit-Learn References Scikit-Learn <https://scikit-learn.org/> text/html 2023-05-30T14:32:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/tensorflow.html?rev=1685457179&do=diff TensorFlow Compatibility with CUDA/cuDNN <https://www.tensorflow.org/install/source#gpu> Sample input1 = tf.ones((2, 3)) input2 = tf.reshape(tf.range(1, 7, dtype=tf.float32), (2, 3)) output = input1 + input2 with tf.Session() : result = output.eval() Device List from tensorflow.python.client import device_lib device_lib.list_local_devices() text/html 2023-05-30T13:06:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/theano.html?rev=1685451992&do=diff Theano Tips * Development and maintenance have been discontinued since 2017 * CUDA 10.2 + cuDNN 7.6.5 would be compatible References Theano <https://github.com/Theano/Theano> <https://groups.google.com/g/theano-users/c/7Poq8BZutbY/m/rNCIfvAEAwAJ> <https://qiita.com/fararrow/items/d4b00bfb51f294496453> text/html 2023-06-17T06:57:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/tvm.html?rev=1686985057&do=diff TVM References TVM <https://tvm.apache.org/> text/html 2023-10-22T15:25:23+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.daiphys.com/portal/ml/tools/xgboost.html?rev=1697988323&do=diff XGBoost Tutorials Google Colaboratory - XGBoost/MNIST(Scikit-Learn) as Classification <https://colab.research.google.com/drive/1aPXBCfSmpMkBfWFBadSWg50kLax6sr6E> Google Colaboratory - XGBoost/MNIST(Scikit-Learn) as Regression <https://colab.research.google.com/drive/16EuA2Npyz1WMUSQOXoyUCbv_j-wZvFb5> Google Colaboratory - XGBoost/SHAP <https://colab.research.google.com/drive/1aZ9b0eejeGzXtkrRTWsNivEcJKEmkyR5> Results MNIST(Scikit-Learn) as Classification MNIST(Scikit-Learn) as Regre…