rasbt / scipy2022-talk
☆25Updated 2 years ago
Alternatives and similar repositories for scipy2022-talk:
Users that are interested in scipy2022-talk are comparing it to the libraries listed below
- Code for the DataPipes article☆13Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- Build fast gradio demos of fastai learners☆35Updated 3 years ago
- Tutorials for using Tensorflow and Keras for NLP☆14Updated 7 years ago
- [Intemarché] Sales forecasting challenge☆11Updated 3 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated 9 months ago
- Tutorials for getting the most out of Matplotlib☆22Updated 4 years ago
- Deep Learning with fastai Cookbook, published by Packt☆59Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Weighted Class TFIDF technique to deal with imbalanced datasets☆14Updated 2 years ago
- ☆20Updated 8 months ago
- Tutorial on time-series forcasting with scikit-learn☆35Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆20Updated last year
- This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.☆13Updated 3 years ago
- Fraud Detection in Python, DataCamp course☆12Updated 5 years ago
- The fast.ai data ethics course☆15Updated 2 years ago
- Utilizing nbdev in Google Colaboratory☆14Updated last year
- Workshop on Bayesian inference using PyMC☆27Updated 3 years ago
- Slides for "Feature engineering for time series forecasting" talk☆58Updated 2 years ago
- My fastai blog☆21Updated last year
- Repository for my master thesis on automated string handling☆16Updated 3 years ago
- Research repo for code that may or may not end up in fastai3☆50Updated 3 years ago
- ☆15Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆16Updated 2 years ago
- Recurrent Neural Networks for Timeseries☆24Updated 5 years ago
- ☆23Updated this week
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 3 years ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year