Management Dashboard for Torchserve
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Jan 31, 2023 - Python
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ml-deployment
Here are 32 public repositories matching this topic...
An end-to-end Machine Learning project from writing a Jupyter notebook to check the viability of the solution, to breaking down the same into modular code, creating a Flask web app integrated with a HTML template to make a website interface, and deploying on AWS and Azure.
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Jul 30, 2023 - Python
Pushing Deep Learning models into production using torchserve, kubernetes and react web app 😄
react kubernetes text-to-speech mongodb expressjs voice-synthesis tts-api mlops mern-project mern-stack-app torchserve text-to-speech-app ml-deployment vietnamese-text-to-speech mlopsvn tts-service tts-demo text-to-speech-service
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Jun 15, 2023 - Python
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
redis machine-learning rabbitmq clustering pubsub rpc falcon redis-client rabbitmq-client fasttext rabbitmq-python pika ml-production semantic-clustering bjoern ml-ops ml-serving ml-web-app ml-deployment
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Jul 20, 2021 - Python
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
tracking deployment ros lidar tensorrt tracking-algorithm lidar-point-cloud tracking-by-detection onnx 3d-detection detection-model nuscenes pointpillars regnet ml-deployment openpcdet mmdeploy
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Feb 8, 2024 - Python
Scientific CUDA benchmarking framework: 4 implementations x 3 power modes x 5 matrix sizes on Jetson Orin Nano. 1,282 GFLOPS peak, 90% performance @ 88% power (25W mode), 99.5% accuracy validation, edge AI deployment guide.
machine-learning robotics cuda cublas scientific-computing matrix-multiplication high-performance-computing gpu-computing performance-optimization autonomous-systems edge-computing nvidia-jetson edge-ai embeded-systems tensor-cores ml-deployment jetson-orin-nano gpu-benchmarking power-efficiency-benchmark cuda-optimization
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Oct 14, 2025 - Python
A EKS-based ML deployment solution
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Apr 15, 2022 - Python
An implementation of seminal CVPR 2016 paper: "A Hierarchical Deep Temporal Model for Group Activity Recognition."
machine-learning deep-learning deployment end-to-end pytorch lstm classification object-detection sports-analytics hierarchical-lstm group-activity streamlit ml-deployment huggingface-spaces yolov8 player-detection temporal-model volleyball-recognition
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Feb 15, 2025 - Python
Base classes and utilities that are useful for deploying ML models.
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Aug 11, 2023 - Python
A basic example of deploying machine learning applications
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May 27, 2021 - Python
A complete FastAPI learning repository — from basic CRUD operations to advanced ML model deployment with Docker.
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Oct 5, 2025 - Python
🌐 Language identification for Scandinavian languages
docker flask grafana s3 language-detection prometheus pytorch lstm cicd language-identification mlflow wili-2018-dataset ml-pipeline pytorch-lstm ml-serving mlflow-pytorch mlflow-docker ml-deployment mlflow-ui ml-monitoring
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Jan 5, 2021 - Python
ml-deploy-lite is a Python library designed to simplify the deployment of machine learning models. It allows developers to quickly turn their models into REST APIs or gRPC services with minimal configuration. The library integrates seamlessly with Docker and Kubernetes, providing built-in monitoring and logging for performance and error tracking.
docker python-library python-3 kubernetes-deployment python-lambda mlops my-library ml-deployment ml-deployment-developers-experiment own-library ml-if-git deployement-strategy kubernesties-deployement
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Nov 26, 2024 - Python
🔍 Analyze CUDA matrix multiplication performance and power consumption on NVIDIA Jetson Orin Nano across multiple implementations and settings.
machine-learning robotics cuda cublas matrix-multiplication high-performance-computing gpu-computing performance-optimization autonomous-systems edge-computing nvidia-jetson embeded-systems tensor-cores ml-deployment jetson-orin-nano gpu-benchmarking power-efficiency-benchmark cuda-optimization
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Dec 10, 2025 - Python
An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.
docker-container docker-image google-cloud-platform kubernetes-deployment google-kubernetes-engine artifact-registry ml-deployment machine-learning-deployment
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Mar 4, 2024 - Python
Machine Learning sentiment analysis model deployed with FastAPI and Docker
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Nov 9, 2025 - Python
🪘 Tabla Drum Image Generator – AI-powered tabla drum image generation using Stable Diffusion & GANs. Features custom dataset curation, ML training pipeline, and scalable API deployment.
machine-learning computer-vision deep-learning tensorflow pytorch web-scraping neural-networks image-generation gans data-augmentation synthetic-data ai-research huggingface diffusion-models ai-engineering ml-deployment stable-diffusion dataset-curation generative-ai model-fine-tuning
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Mar 28, 2025 - Python
ML classification system for pulsar detection from radio telescope data (HTRU2 dataset). FastAPI + Docker deployment.
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Dec 8, 2025 - Python
A full-stack machine learning architecture for food delivery ETA prediction, leveraging a DVC-driven pipeline, automated CI/CD workflows, cloud artifact management, and LGBM-based stacked regression ensemble for high-fidelity time estimations.
python docker machine-learning lightgbm cicd feature-engineering data-version-control food-delivery mlops fastapi prediction-system model-ensemble ml-deployment dvc-pipeline aws-s3-bucket dagshub eta-prediction delivery-forecasting stacking-regression
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May 11, 2025 - Python
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