Alternatives and similar repositories for machine-learning-snippets

Users that are interested in machine-learning-snippets are comparing it to the libraries listed below

• ml-tooling / ml-project-template
  ML project template facilitating both research and production phases.
  ☆110Updated 6 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆91Updated 2 years ago
• The-AI-Summer / Introduction-to-Deep-Learning-and-Neural-Networks-Course
  Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
  ☆45Updated 3 years ago
• shaz13 / katana
  Katana project is a FastAPI template for ASAP 🚀 ML API deployment
  ☆112Updated last year
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• PacktPublishing / Hands-On-One-shot-Learning-with-Python
  Hands-On One-shot Learning with Python, published by Packt
  ☆52Updated 2 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago
• ashishpatel26 / best-of-ml-python
  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
  ☆21Updated 3 years ago
• abhishekkrthakur / ml_dev_env
  Machine Learning / Deep Learning Environment. Everywhere. Anywhere.
  ☆51Updated 5 years ago
• ThomasRobertFr / ml-project-structure
  Basic structure for machine learning projects
  ☆54Updated 8 years ago
• Ankur-singh / colab_everything
  Python library to run streamlit, flask, fastapi, etc on google colab.
  ☆32Updated 2 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 6 years ago
• MLWhiz / data_science_blogs
  A repository to keep track of all the code that I end up writing for my blog posts.
  ☆249Updated 2 years ago
• yug95 / MachineLearning
  Machine learning for beginner(Data Science enthusiast)
  ☆123Updated 4 months ago
• snehankekre / Deploy-Deep-Learning-Models-TF-Serving-Docker
  Official repository of "TensorFlow Serving with Docker for Model Deployment" Coursera Project
  ☆24Updated 4 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆57Updated 2 years ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated 3 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 3 years ago
• TripathiAshutosh / FastAPI
  Microservice creation and Machine Learning Model Deployment using FastAPI
  ☆115Updated 3 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆89Updated 2 years ago
• navneetkrc / Deep-Learning-Experiments-implemented-using-Google-Colab
  Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
  ☆21Updated 3 months ago
• jeongyoonlee / kaggler-template
  Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
  ☆45Updated 5 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆139Updated 5 years ago
• rediscovery-io / remo-python
  Python lib for remo - the app for annotations and images management in Computer Vision
  ☆187Updated 4 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated last year
• bespoke-inc / bespoke-public-talks
  Code samples and other materials for presentations by Bespoke tech team members
  ☆82Updated 3 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 3 years ago