LinearBoost / linearboost-classifier
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
☆116Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for linearboost-classifier
- ☆112Updated 9 months ago
- Highly commented implementations of Transformers in PyTorch☆128Updated last year
- SaLSa Optimizer implementation (No learning rates needed)☆28Updated this week
- My personal site☆69Updated 3 months ago
- ☆204Updated 4 months ago
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆195Updated 6 months ago
- Toolkit for attaching, training, saving and loading of new heads for transformer models☆246Updated 2 weeks ago
- ☆42Updated 2 weeks ago
- Resources for some of our education content☆30Updated last week
- Python package for conformal prediction☆459Updated 2 months ago
- Generalist and Lightweight Model for Text Classification☆49Updated this week
- Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning☆97Updated last year
- Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"☆325Updated last week
- This repository contains a better implementation of Kolmogorov-Arnold networks☆59Updated 6 months ago
- Gzip and nearest neighbors for text classification☆56Updated last year
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆86Updated last month
- An introduction to LLM Sampling☆64Updated last week
- ☆108Updated this week
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆34Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆193Updated 10 months ago
- Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".☆103Updated last week
- Streamline scikit-learn model comparison.☆146Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibration☆133Updated 2 months ago
- NLP with Rust for Python 🦀🐍☆59Updated 5 months ago
- Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead☆109Updated last week
- Actually Robust Training - Tool Inspired by Andrej Karpathy "Recipe for training neural networks". It allows you to decompose your Deep…☆44Updated 7 months ago
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆66Updated this week
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆180Updated 2 months ago
- ☆196Updated this week
- ☆129Updated 3 weeks ago