jrieke / traingeneratorLinks
π§ A web app to generate template code for machine learning
β1,379Updated 2 years ago
Alternatives and similar repositories for traingenerator
Users that are interested in traingenerator are comparing it to the libraries listed below
Sorting:
- Code and files to go along with CS329s machine learning model deployment tutorial.β609Updated 2 years ago
- Research papers with annotations, illustrations and explanationsβ829Updated 4 years ago
- Full Stack Deep Learning Online Courseβ903Updated 4 years ago
- Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learβ¦β1,164Updated 2 years ago
- π spaCy building blocks and visualizers for Streamlit appsβ843Updated last year
- π No need to keep checking your training - just one import line and you'll know the second it's done.β344Updated 3 years ago
- The purpose of this project is to share knowledge on how awesome Streamlit is and can beβ2,206Updated 2 years ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.β2,444Updated last month
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.β1,182Updated 2 years ago
- Run VSCode (codeserver) on Google Colab or Kaggle Notebooksβ2,141Updated last year
- Template Makefile for ML projects in Python.β524Updated 4 years ago
- Curated list of open source tooling for data-centric AI on unstructured data.β726Updated last year
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and bβ¦β1,367Updated 8 months ago
- Notebooks for the "A walk with fastai2" Study Group and Lecture Seriesβ747Updated 3 years ago
- pyforest - feel the bliss of automated importsβ1,115Updated last year
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Graβ¦β1,842Updated last year
- π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Modelsβ2,951Updated this week
- Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.β1,261Updated last year
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are lookβ¦β439Updated last year
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domainsβ1,740Updated last year
- The Fuzzy Labs guide to the universe of open source MLOpsβ472Updated 4 months ago
- Deploy a ML inference service on a budget in less than 10 lines of code.β1,346Updated last year
- Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, videβ¦β561Updated last year
- Implementation of different ML Algorithms from scratch, written in Python 3.xβ411Updated last year
- GitHub Repo with various ML/AI/DS resources that I find usefulβ464Updated last year
- β152Updated 5 years ago
- Source code/webpage/demos for the What-If Toolβ973Updated last month
- π₯ A collection of PyTorch notebooks for learning and practicing deep learningβ580Updated 2 years ago
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentationβ3,203Updated 2 months ago
- 100 exercises to learn Python Datatableβ270Updated 3 years ago