Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
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Updated
Jan 26, 2026 - Python
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
EmbeddedLLM: API server for Embedded Device Deployment. Currently support CUDA/OpenVINO/IpexLLM/DirectML/CPU
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
😊📸 Real-Time Facial Emotion Recognition using Deep Learning 🤖🧠
Deep learning solution for apple disease detection using CNN architecture. Trained on PlantVillage dataset to classify 4 apple leaf conditions with real-time image analysis.
A cloud run function to invoke a prediction against a machine learning model that has been trained outside of a cloud provider.
RapidVision is a real-time object detection tool powered by the PP-YOLOE deep learning model and the COCO object class dataset. It supports switching between multiple video sources and is built for responsive, flexible object recognition.
Production-oriented FastAPI service demonstrating ML model lifecycle, request validation, and privacy-aware prediction logging.
Streamlit web app for Fashion-MNIST image classification: compare Custom CNN vs VGG16 transfer learning with probabilities and training curves.
EGM is a deep learning tool that learns your image editing style from raw/edited pairs and applies it to new images. It uses a Pix2Pix (conditional GAN) architecture.
This vehicle identification project utilizes the YOLOv5 deep learning model for detecting and classifying vehicles from images, videos, and live streams. It supports real-time inference, saving outputs with bounding boxes, confidence scores, and class labels, making it ideal for traffic monitoring and smart surveillance systems.
Make your model inference to http server. 一个为“同步重计算模型”量身设计的异步推理服务桥接器。
Demographic Evaluation & Model Inference Using Reverse-time Genetic & Environmental Simulations
rocktop is a singing voice model training/inference system with a full test env and MCP server for devs
POC of image classification using scikit-learn.
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