fastai / fastforest
A forest that is fast
☆41Updated 6 years ago
Alternatives and similar repositories for fastforest:
Users that are interested in fastforest are comparing it to the libraries listed below
- Stats 479 Project☆22Updated 5 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- demos for PyBay talk: Using Randomness to make code faster☆51Updated 7 years ago
- Pyro models and misc examples.☆19Updated 3 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- ☆16Updated 8 years ago
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆13Updated 2 years ago
- Convenient hyperparameter optimization☆14Updated 10 months ago
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 5 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- ☆29Updated 10 months ago
- My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)☆12Updated 6 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- A library for Time-Series exploration, analysis & modelling.☆17Updated 4 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆56Updated 4 years ago
- Deep Continuous Quantile Regression and other experiments.☆13Updated 5 years ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Statistical adaptive stochastic optimization methods☆33Updated 4 years ago
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Updated 4 years ago
- ☆17Updated 11 years ago
- ☆21Updated 5 years ago
- Repository for thuijskens.github.io☆11Updated last year
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated last month
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago