Popular GitHub Repositories for Ltl Properties

An open-source data logging library for machine learning models and data pipelines. ? Provides visibility into data quality & model performance over time. ?️ Supports privacy-preserving data collection, ensuring safety & robustness. ?

Gender recognition by voice and speech analysis

Profile and monitor your ML data pipeline end-to-end

DDN: A novel generative model with simple principles and unique properties. (ICLR 2025)

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

Collection of data sets of molecules for a validation of properties inference

Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.

This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalization ability, and other properties of language models through theoretical analysis, empirical analysis, or a combination of both.

Code for "An adaptive graph learning method for automated molecular interactions and properties predictions".

Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"

Master thesis with code investigating methods for incorporating long-context reasoning in low-resource languages, without the need to pre-train from scratch. We investigated if multilingual models could inherit these properties by making it an Efficient Transformer (s.a. the Longformer architecture).

Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)

A pytorch implementation of "Intriguing properties of neural networks"

A deep neural network with hybrid architecture (EGNN + Transformer) for molecular properties prediction.

Reproduction of CGCNN with fine-tuning for predicting material properties

Application of Graph Neural Networks to predict material properties from their microstructures.

On Intrinsic Dataset Properties for Adversarial Machine Learning

24-bit ANSI colored, console-based chess engine using Java. Optional multi-threaded AI using Minimax with alpha-beta pruning. Fully configurable properties including: ply depth, thread pool size, optional AI time limit, all colors, and more.

Detecting Facial Landmarks on 3D Models Based on Geometric Properties

Measuring generalization properties of graph neural networks