biocomplab / dl-hubLinks
A Dockerised JupyterHub environment for Deep Learning with GPUs
☆18Updated last year
Alternatives and similar repositories for dl-hub
Users that are interested in dl-hub are comparing it to the libraries listed below
Sorting:
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Notes from my presentation on Python packaging at PyGotham 2021☆21Updated 2 years ago
- SPEAR: Programmatically label and build training data quickly.☆107Updated last year
- Explaining dimensionality results using SHAP values☆54Updated 6 months ago
- Vectorizers for a range of different data types☆102Updated 5 months ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Bayesian Bandits☆68Updated last year
- Data Twinning☆25Updated 2 years ago
- ☆30Updated 3 years ago
- Visualization Tool for Mapping Out Researchers using Natural Language Processing☆56Updated last year
- Python ML pipeline that showcases mltrace functionality.☆28Updated 3 years ago
- A pytest plugin to organize and track algorithm visualizations☆17Updated 7 months ago
- A Python library for machine-learning and feedback loops on streaming data☆62Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated 10 months ago
- Intelligence Task Ontology (ITO)☆74Updated 2 years ago
- Repository for my master thesis on automated string handling☆16Updated 4 years ago
- A Probabilistic Programming Language in 70 lines of Python. Code for the blog post https://mrandri19.github.io/2022/01/12/a-PPL-in-70-lin…☆17Updated 3 years ago
- Companion code for a tutorial on using Hydra.☆29Updated 4 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago
- Reading history for Fair ML Reading Group in Melbourne☆36Updated 3 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 2 years ago
- A minimal template for creating a pypi package☆49Updated 4 years ago
- Lightweight ML Experiment Logging 📖☆79Updated 10 months ago
- Prune your sklearn models☆19Updated 8 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- Functional machine learning for fun☆85Updated 4 years ago
- A neural network hyper parameter tuner☆30Updated last year
- A few baselines with a standard tabular model☆38Updated 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