Popular GitHub Repositories for Distributional Semantics

For deep RL and the future of AI.

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

An extension of XGBoost to probabilistic modelling

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...)

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Information extraction from English and German texts based on predicate logic

An extension of LightGBM to probabilistic modelling

Semantics-aware BERT for Language Understanding (AAAI 2020)

Exercises for the Analysis of Knowledge Graphs

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

"Few-shot Text Classification with Distributional Signatures" ICLR 2020

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

CodeAlchemist: Semantics-Aware Code Generation to Find Vulnerabilities in JavaScript Engines (NDSS '19)

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Making sense embedding out of word embeddings using graph-based word sense induction

Neural Code Comprehension: A Learnable Representation of Code Semantics

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.