Examples of reading and writing Excel files.

Examples of reading and writing CSV files.

Read Sin from the file.

Use Python's matplotlib package to generate stock data (opening, closing, highest, lowest) charts.

Read JSON from the file and write JSON to the file.

Use YOLACT to segment the image.

Russian Alexey Bochkovskiy, the maintainer of YOLO Darknet, found that the CSPNet detector developed by Wang Jianyao, the post-doc of the Chinese Academy of Sciences an

Use 3D ResNets to classify images (videos).

Use 3D UNet to segment the image.

Use LPRNet for license plate recognition.

Use Ganomaly for image anomaly detection.

Use LightGBM to predict housing prices.

Use LightGBM to predict the survival of Titanic passengers.

Use Gradient Boosting to predict housing prices.

Use Gradient Boosting to predict the survival of Titanic passengers.

Use Regression Forest to predict stock prices.

Use Regression Forest to predict the Sin function.

Use Regression Forest to predict stock prices.

Use XGBoost to forecast ticket sales (time series data).

Use XGBoost to predict stock prices.

Use XGBoost to predict the survival of Titanic passengers.

The YOLOv4 Tiny algorithm can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, mask image an

Use LSTM to train and predict the ticket sales.

Use YOLOv4 for real-time multi-object tracking, which can be applied to various fields such as monitoring systems and traffic flow analysis.

Use genetic algorithms to solve the multi-objective scheduling problem.

Use genetic algorithms to solve the problem of factory scheduling Job Shop.

This solution can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, mask image analysis, etc.

This solution can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, mask image analysis, etc.

Use genetic algorithm to solve the problem of factory scheduling Flow Shop.

Object detection using MobileNetV3 can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, and

Use Autoencoder for credit card fraud detection.

This solution can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, mask image analysis, etc.

Use FasterRCNN for object detection, which can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analys

The feature of CycleGAN is that it does not require training data to be paired, and can learn image conversion between different domains. The streets applied to semanti

Using DETR for object detection can be applied to factory defect detection, medical image analysis, biological image analysis, industrial safety image analysis, and mas

The application areas of BERT include Question Answer system, reading comprehension, semantic disassembly, and semantic analysis. 

Applied to human body posture detection, it can detect the position of people's eyes, nose, ears, neck, shoulders, elbows, wrists, hip joints, knee joints, and ank

Use DenseNet to train and inference stock data.

Image-GAN-Compression-PyTorch-Jupyter is to perform style conversion after compressing the GAN model. The compressed model not only reduces the amount of calculation, r

AppForAI SDK, Use DenseNet to train and inference the Sin function.

FaceNet can be applied to face grouping and face classification, and judge the similarity of faces through Euclidean distance, and then achieve face recognition.

Use one-dimensional Convolutional neural network for data analysis.

GPT-2 is used to automatically generate an English article, and you can also enter any sentence to automatically generate an English article.

It can train custom speech datasets, infer and output categories, use CNN to recognize word classification, and implement simple speech recognition

The pix2pix architecture is similar to GAN, but the purpose is not to generate simulated images, but to use supervised learning to output the image style learned by the

Super Resolution is to increase the resolution of the video, a low-resolution image, using SRGAN to generate a high-resolution, thereby improving the resolution of the

The feature of CycleGAN is that it does not require training data to be paired, and can learn image conversion between different domains. The streets applied to semanti

AI human posture detection, such as human skeleton detection, fall detection, people counting, etc. It can detect the position of human eyes, ears, nose, neck, shoulder

ONNX (Open Neural Network Exchange) is a set of open neural network exchange format, because different frameworks have its advantages, if it is better on a certain fram

Use UNet to segment the image. It can be applied to medical image analysis, defect image analysis, etc.