Management Dashboard for Torchserve
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Jan 31, 2023 - Python
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ml-deployment
Here are 107 public repositories matching this topic...
PMML scoring library for Scala
pmml pmml-evaluator pmml-scoring-library ml-deployment ai-development pmml-java-library pmml-scala-library pmml-deployment pmml-java-deployment pmml-scala-deployment pmml-jvm
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Oct 18, 2025 - Scala
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
CUDA matrix multiplication benchmarking on Jetson Orin Nano. Four implementations, three power modes, five matrix sizes. 99.5% mathematical validation. C++/CUDA and Python.
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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Apr 2, 2026 - Python
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
python docker machine-learning dashboard grafana jupyter-notebook prometheus caddy anomaly-detection real-time-monitoring mlops real-time-machine-learning fastapi ml-engineering ml-platform ml-deployment ml-monitoring koushikvikram koushik-vikram
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Nov 24, 2021 - Jupyter Notebook
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
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Dec 9, 2020 - Jupyter Notebook
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype…
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Nov 4, 2021 - Jupyter Notebook
Identifying Patterns and Trends in Campus Placement Data using Machine Learning
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Jan 6, 2024 - Jupyter Notebook
Simply Automate Monitoring Infrastructure with Terraform, Ansible, AWS EC2, Nginx, Prometheus, Grafana and Github Actions 😄
ansible-playbook grafana prometheus nginx-proxy infrastructure-monitoring terraform-aws terraform-ansible-integration mlops ml-deployment terraform-github-actions mlopsvn
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Jun 30, 2023 - HCL
This repo shows how to implement a simple image generation app that uses Jax-Implementation of a conditional VAE, Jax, fastapi, docker, streamlit, heroku, ec2, and cloudflare 😃
heroku vae image-generation generative-models jax fastapi streamlit ml-deployment mlops-project play-with-jax jax-implementation mlopsvn
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Jun 16, 2023 - Jupyter Notebook
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
A EKS-based ML deployment solution
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Apr 15, 2022 - Python
Base classes and utilities that are useful for deploying ML models.
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Aug 11, 2023 - Python
Customer churn prediction system using XGBoost, SHAP explainability, and Streamlit for real-time telecom retention analysis.
customer-retention data-science machine-learning random-forest scikit-learn eda xgboost logistic-regression smote explainable-ai shap model-interpretability customer-churn-prediction customer-churn streamlit ml-deployment telecom-analytics
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Jan 6, 2026 - Jupyter Notebook
A regression model to predict calories burnt using values from multiple sensors.
machine-learning mongodb azure clustering sklearn pandas data-preprocessing flask-restful object-oriented-programming ml-deployment calories-burnt xgboost-regressor randomforest-regressor
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Apr 9, 2021 - Jupyter Notebook
This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.
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Apr 18, 2021 - Jupyter Notebook
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