EGiunchiglia

EGiunchiglia's Stars

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python28.3k2069901.3k

• gpakosz/.tmux

  🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

  Language:Shell21.8k2516733.4k

• nalepae/pandarallel

  A simple and efficient tool to parallelize Pandas operations on all available CPUs

  Language:Python3.6k28219209

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python2.9k621k430

• logictensornetworks/logictensornetworks

  Deep Learning and Logical Reasoning from Data and Knowledge

  Language:Jupyter Notebook269133052

• uclnlp/torch-imle

  Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

  Language:Python257829

• dice-group/gerbil

  GERBIL - General Entity annotatoR Benchmark

  Language:Java2192837057

• morningmoni/HiLAP

  Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

  Language:Python14251835

• pietrobarbiero/pytorch_explain

  PyTorch Explain: Interpretable Deep Learning in Python.

  Language:Jupyter Notebook13513612

• pylon-lib/pylon

  Language:Python12192010

• thuwzy/Neural-Symbolic-and-Probabilistic-Logic-Papers

  A curated paper list on neural symbolic and probabilistic logic.

  1098112

• gurkirt/road-dataset

  Download and pre-processing of ROAD dataset

  Language:Python1053617

• EGiunchiglia/C-HMCNN

  Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"

  Language:Python844521

• lucasanguinetti/Deep-Learning-Power-Allocation-in-Massive-MIMO

  This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

  Language:MATLAB815150

• gurkirt/3D-RetinaNet

  3D-RetinaNet a baseline models on ROAD dataset

  Language:Python7241419

• deeprob-org/deeprob-kit

  A Python Library for Deep Probabilistic Modeling

  Language:Python593238

• princeton-nlp/Collie

  [ICLR 2024] COLLIE: Systematic Construction of Constrained Text Generation Tasks

  Language:Jupyter Notebook51606

• KareemYousrii/SPL

  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers

  Language:Python245104

• EleMisi/VAEL

  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming

  Language:Python19311

• mihaela-stoian/ROAD-R-2023-Challenge

  Language:C++16252

• EGiunchiglia/ROAD-R

  Dataset and code for paper: ``ROAD-R: The Autonomous Driving Dataset with Logical Requirements''

  Language:C++12310

• mihaela-stoian/ConstrainedDGM

  Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"

  Language:Python11101

• serval-uni-lu/constrained-attacks

  Constrained adversarial attacks for ML models.

  Language:Python8702

• mihaela-stoian/PiShield

  A NeSy Framework for Learning with Requirements

  Language:Python7301

• NickHoernle/semantic_loss

  Repository for the semantic WMI loss

  Language:Jupyter Notebook41

• tommasocarraro/LTNrec

  Application of Logic Tensor Networks to Recommender Systems

  Language:Python4100

• roberto-bayardo/relsat

  Automatically exported from code.google.com/p/relsat

  Language:C++3001

• atatomir/CCN

  Code for IJAR 2024 paper "CCN+: A neuro-symbolic framework for deep learning with requirements"

  Language:Jupyter Notebook2301

• EGiunchiglia/CBTs-Checker

  Code for paper: "Conditional behavior trees: Definition, executability, and applications"

  Language:C++2121

• seanyang38/Ontologue

  ToolKit for Hierarchical MultiLabel Classification Benchmark Generation

  Language:Jupyter Notebook1220