SebChw / Actually-Robust-TrainingLinks
Actually Robust Training - Tool Inspired by Andrej Karpathy "Recipe for training neural networks". It allows you to decompose your Deep Learning pipeline into modular and insightful "Steps". Additionally it has many features for testing and debugging neural nets.
☆44Updated last year
Alternatives and similar repositories for Actually-Robust-Training
Users that are interested in Actually-Robust-Training are comparing it to the libraries listed below
Sorting:
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆650Updated last year
- Software design principles for machine learning applications☆374Updated 2 months ago
- Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".☆155Updated 3 months ago
- Highly commented implementations of Transformers in PyTorch☆136Updated 2 years ago
- ☆201Updated 2 weeks ago
- ☆44Updated last month
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆195Updated last year
- Multi-backend recommender systems with Keras 3☆145Updated this week
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆247Updated last year
- Shapley Interactions and Shapley Values for Machine Learning☆622Updated this week
- A curated list of papers that released datasets along with their work☆126Updated last year
- Deep Learning Fundamentals -- Code material and exercises☆402Updated last year
- LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.☆213Updated 2 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆350Updated 4 months ago
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆779Updated 2 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 3 weeks ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆348Updated this week
- A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evalu…☆195Updated 3 months ago
- A template to kick-start your Python project ✨🚀☆52Updated 3 months ago
- ☆150Updated last year
- Educational materials on deep learning by Weights & Biases☆641Updated 9 months ago
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…☆118Updated 2 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Updated 2 months ago
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆170Updated 3 months ago
- RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems☆135Updated 9 months ago
- A Library for Conformal Hyperparameter Tuning☆101Updated last month
- Interpret text data with LLMs (sklearn compatible).☆171Updated 3 weeks ago
- List of resources, libraries and more for developers who would like to build with open-source machine learning off-the-shelf☆198Updated last year