ema-marconato

ema-marconato's Stars

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.8k591.5k557

• google/BIG-bench

  Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

  Language:Python2.9k51151591

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k1966163

• ildoonet/pytorch-gradual-warmup-lr

  Gradually-Warmup Learning Rate Scheduler for PyTorch

  Language:Python9751118126

• neurreps/awesome-neural-geometry

  A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

  91629160

• aimagelab/mammoth

  An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

  Language:Python5551137102

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python4681014672

• ZIYU-DEEP/Awesome-Information-Bottleneck

  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

  31812043

• HGX-Team/hypergraphx

  HGX is a multi-purpose, open-source Python library for higher-order network analysis

  Language:Python21242126

• ML-KULeuven/deepproblog

  DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.

  Language:Python19415950

• EdoardoCarlesi/PyRCODIO

  PyRCODIO - Python Routines for COsmology and Data Input/Output

  Language:Python186430

• nmichlo/disent

  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

  Language:Python12453618

• tommasocarraro/LTNtorch

  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.

  Language:Python862215

• Trustworthy-ML-Lab/Label-free-CBM

  A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

  Language:Jupyter Notebook772714

• evandez/relations

  How do transformer LMs encode relations?

  Language:Jupyter Notebook364410

• EleMisi/VAEL

  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming

  Language:Python19311

• ema-marconato/NeSy-CL

  Codebase for Neuro-Symbolic Continual Learning.

  Language:Python19122

• kdd-lab/XAI-Lib

  XAI Library

  Language:Python196100

• slachapelle/disentanglement_via_mechanism_sparsity

  Language:Jupyter Notebook17217

• ema-marconato/reasoning-shortcuts

  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

  Language:Python16212

• nickruggeri/CLAP-interpretable-predictions

  Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".

  Language:Python13101

• abonte/protopdebug

  Implementation of Concept-level Debugging of Part-Prototype Networks

  Language:Python11100

• SoftWiser-group/NeSy-without-Shortcuts

  Code for the paper "Learning with Logical Constraints but without Shortcut Satisfaction"

  Language:Python9412

• samuelebortolotti/bears

  Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

  Language:Python7100

• Bontempogianpaolo1/continualExplain

  Official implementation of paper "Catastrophic Forgetting in Continual Concept Bottleneck Models"

  Language:Python5110

• compbiomed-unito/MUSE-XAE

  Language:Jupyter Notebook411

• unitn-sml/rsbench

  Official website for the "A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts" benchmark paper

  Language:HTML4501

• iclr2023-ProbKT/ProbKT

  Language:Jupyter Notebook2100

• unitn-sml/rsbench-code

  Official codebase for the "A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts" benchmark paper.

  Language:Python2511

• handsomejack92/combgen

  Code for Lost in Latent Space

  Language:Python1100