TDehaene / blogpostsLinks
Code collection for published blog posts
☆78Updated last year
Alternatives and similar repositories for blogposts
Users that are interested in blogposts are comparing it to the libraries listed below
Sorting:
- ☆38Updated 5 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 6 years ago
- Guide on creating an API for serving your ML model☆66Updated 3 years ago
- ☆49Updated 5 years ago
- ☆107Updated 7 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 5 years ago
- A non-ending collection of jupyter notebooks☆40Updated 2 years ago
- Material for my run of Fast.AI☆57Updated 4 years ago
- Slides, videos and other resources from MLT Talks☆109Updated 4 years ago
- 'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev☆66Updated 3 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- Fit your tensorflow model using fastai and PyTorch☆91Updated 5 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Kaggler TV☆54Updated 5 years ago
- Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019☆82Updated 5 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- For the TWiML NLP Study Group. We review the fast.ai course "A Code-First Introduction to Natural Language Processing", created by Rachel…☆18Updated 5 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Hands-on examples showcasing popular NLP applications☆19Updated 5 years ago
- Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …☆92Updated 2 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- ☆158Updated 6 years ago
- ☆87Updated 6 years ago
- Merging image, tabular and text data in a neural network with fastai☆52Updated 2 years ago
- ☆31Updated 6 years ago
- Text summarization algorithm for the Capstone Project at Springboard code bootcamp☆54Updated 2 years ago
- My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)☆36Updated 7 years ago
- fastai V2 implementation of Timeseries classification papers.☆241Updated 2 years ago