hanneshapke / Deploying-Deep-Learning-Models
Strategies to deploy deep learning models
☆27Updated 6 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
- The fast.ai data ethics course☆15Updated 2 years ago
- A tutorial example for nbdev☆15Updated 3 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Updated 4 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- ☆22Updated 4 years ago
- Build fast gradio demos of fastai learners☆35Updated 3 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 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
- BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipe…☆18Updated 2 years ago
- Stats 479 Project☆22Updated 5 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- A Starlette example for deployment in fastai2☆11Updated 4 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- A proof of concept library for generating and running machine learning model tests☆13Updated 4 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- ☆30Updated 3 years ago
- DEPRECATED--all functionality moved to nbdev☆15Updated 2 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- Demo bear classifier with fastai and Voila☆39Updated last year
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Exploratory Data Analysis with Python☆22Updated 2 years ago
- Example from my "Serverless Deep Learning" talk☆22Updated 4 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- Jupyter notebook widget to quickly label text data☆47Updated 6 years ago
- Examples showcasing model deployment☆18Updated last year