eemlcommunity / PracticalSessions2025Links
☆32Updated 6 months ago
Alternatives and similar repositories for PracticalSessions2025
Users that are interested in PracticalSessions2025 are comparing it to the libraries listed below
Sorting:
- Graph Machine Learning course, Xavier Bresson, 2023☆616Updated last year
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆431Updated 2 years ago
- Tabular Deep Learning Library for PyTorch☆765Updated last week
- RelBench: Relational Deep Learning Benchmark☆341Updated last week
- A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare☆469Updated last week
- ☆169Updated last year
- Software design principles for machine learning applications☆376Updated 5 months ago
- List of ML conferences with important dates and accepted paper list☆208Updated last month
- Everything a Machine Learning Engineer needs to know, from statistics, probability theory, ML, DL and AI.☆24Updated 3 years ago
- ☆61Updated 3 years ago
- Hands-On Graph Neural Networks Using Python, published by Packt☆1,009Updated last month
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆233Updated last year
- Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".☆173Updated last week
- IJCAI-24 Tutorial on Counterfactual Explanations: https://sites.google.com/view/tut-counterfactuals-ijcai24/☆12Updated last year
- A foundation model for knowledge graph reasoning☆595Updated last year
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆230Updated last year
- A Python toolkit for debiasing neural networks in image classification tasks☆82Updated 3 months ago
- SETOL: SemiEmpirical Theory of (Deep) Learning☆29Updated 6 months ago
- In-Situ Evaluator: Real-Time Subsample Analysis☆15Updated 2 weeks ago
- ☆27Updated 3 years ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,272Updated 3 years ago
- This repository collects all relevant resources about interpretability in LLMs☆391Updated last year
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆678Updated last year
- Summaries of courses in the AI Master programme at UvA☆188Updated 3 years ago
- A curated list of topological deep learning (TDL) resources and links.☆274Updated 3 months ago
- Croissant is a high-level format for machine learning datasets that brings together four rich layers.☆789Updated this week
- A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/C…☆114Updated 8 months ago
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆857Updated last week
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆219Updated 6 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆445Updated 3 months ago