rasbt / DeepLearning-Gdansk2019-tutorial
Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
☆70Updated 5 years ago
Alternatives and similar repositories for DeepLearning-Gdansk2019-tutorial:
Users that are interested in DeepLearning-Gdansk2019-tutorial are comparing it to the libraries listed below
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 4 years ago
- ☆36Updated 5 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 5 years ago
- ☆107Updated 6 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- The fast.ai data ethics course☆15Updated 2 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
- A fast way to turn your python function into a script☆165Updated 3 years ago
- Examples and tutorials to the steppy library☆21Updated 6 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 3 years ago
- a python based module (bot) to generate kaggle baseline kernels☆26Updated 6 years ago
- Stats 479 Project☆22Updated 5 years ago
- Developing and integrating methods for fastai2 tabular with other datatypes☆26Updated 2 years ago
- ☆64Updated 6 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 7 months ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆144Updated 5 years ago
- Experiments for fast.ai V3 course.☆8Updated 6 years ago
- Code for training a Resnet model for the Human Protein Atlas Image Classification competition☆50Updated 6 years ago
- General Interpretability Package☆58Updated 2 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelera…☆45Updated 3 years ago
- ☆38Updated 5 years ago
- Predict mining prospects and mineral deposits using deep learning and satellite imagery☆58Updated 5 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Deep Learning for Computer Vision with TensorFlow 2.0☆19Updated 4 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 5 years ago
- Jupyter notebooks of fastai v3 part 2 with links to Youtube video of corresponding lesson☆16Updated 5 years ago