hanneshapke / Deploying-Deep-Learning-ModelsLinks
Strategies to deploy deep learning models
☆27Updated 7 years ago
Alternatives and similar repositories for Deploying-Deep-Learning-Models
Users that are interested in Deploying-Deep-Learning-Models are comparing it to the libraries listed below
Sorting:
- A few baselines with a standard tabular model☆38Updated 5 years ago
- The fast.ai data ethics course☆17Updated 2 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- A tutorial example for nbdev☆15Updated 3 years ago
- Code samples and other materials for presentations by Bespoke tech team members☆82Updated 3 years ago
- Demo bear classifier with fastai and Voila☆39Updated 2 years ago
- Build fast gradio demos of fastai learners☆35Updated 4 years ago
- Research repo for code that may or may not end up in fastai3☆50Updated 4 years ago
- Stats 479 Project☆22Updated 6 years ago
- Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint☆73Updated 4 years ago
- Information for readers of the fastai book☆69Updated 5 years ago
- Tutorials for getting the most out of Matplotlib☆23Updated 5 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- [WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy mod…☆15Updated 2 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 4 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated 2 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Updated 5 years ago
- [Intemarché] Sales forecasting challenge☆11Updated 4 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 3 years ago
- Neural networks in pandas☆51Updated 3 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- ☆21Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 4 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- A proof of concept library for generating and running machine learning model tests☆13Updated 5 years ago